field_job_occupational_field_parents_all

field_job_employment_type

job_organization_name

city

state

<h3>Job Description</h3>
Position Summary / Department Summary In collaboration with the manager, assigns and prioritizes work within the Epic Cadence and Referral team to meet the needs of the supported operation's end-users and assigned Epic applications. As a senior resource with specialized knowledge of the team's core applications, guides analysts through the design, build/configuration, testing and implementation of the team's core Epic applications and their integration with other supported systems/applications. Mentors team members in their approach to identifying and defining solutions. Assists with training of staff. Serves as a specialist on the team's core Epic applications.
Key Responsibilities
<ul>
<li>
Works with manager to prioritize daily workload (tickets and projects), assign staff, and adjust as needed
</li>
<li>
Serves as a subject matter expert on core applications
</li>
<li>
Guides analysts through design, configuration, testing, implementation, and maintenance
</li>
<li>
Acts as an escalation point for complex issues
</li>
<li>
Applies Epic expertise and consultative skills to identify business solutions
</li>
<li>
Analyzes technology and operations, recommending new features, vendors, or integrations
</li>
<li>
Researches vendor functionality, assesses integration needs, and recommends customizations
</li>
<li>
Leads multi-month projects from inception to implementation
</li>
<li>
Performs advanced configurations and customizations
</li>
<li>
Implements edits (e.g., security classes), moderately complex logic, or new templates
</li>
<li>
Ensures downstream impacts (billing, admitting, provider access) are addressed
</li>
<li>
Conducts unit, integrated, and specialty testing
</li>
<li>
Manages Epic-eligible vendor integrations and upgrades
</li>
<li>
Coordinates testing for multi-application projects
</li>
<li>
Partners with IT and vendors on non-Epic integrations
</li>
<li>
Coordinates upgrade efforts, assigns release note reviews, communicates milestones, and escalates issues as needed
</li>
<li>
Leads team meetings, maintains cross-team communication, and provides updates to leadership
</li>
<li>
Represents the team in internal and external meetings
</li>
<li>
Reviews schedules, raises performance concerns, and ensures coverage
</li>
<li>
Supports onboarding, training, and mentoring
</li>
<li>
Audits work for quality and provides performance feedback
</li>
<li>
Develops or contributes to online and in-person training materials
</li>
<li>
Assists with process improvements, escalates resource needs, and supports implementation
</li>
<li>
May present at national Epic forums and attend trainings or conferences for certification
</li>
</ul>
Qualifications
<ul>
<li>
Bachelor’s degree required (Associate’s +2 years, or HS diploma/GED +4 years may substitute).
</li>
<li>
8 years Epic application support experience, including complex builds/integrations.
</li>
<li>
At least 4 years Epic build experience with responsibility for complex builds/integrations.
</li>
</ul>
Epic Certifications - Required Epic Cadence Epic Certifications - Preferred Epic Referral Epic Decision Tree Badge Lean Six Sigma Green Belt certification. 
The posted pay range is Boston Children’s reasonable and good-faith expectation for this pay at the time of posting.
Any base pay offer provided depends on skills, experience, education, certifications, and a variety of other job-related factors. Base pay is one part of a comprehensive benefits package that includes flexible schedules, affordable health, vision and dental insurance, child care and student loan subsidies, generous levels of time off, 403(b) Retirement Savings plan, Pension, Tuition and certain License and Certification Reimbursement, cell phone plan discounts and discounted rates on T-passes. Experience the benefits of passion and teamwork.

Lead, Epic Analyst (Cadence/Referrals)

<h3>Job Description</h3>
Job Description
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. 
Responsibilities:
<ul>
<li>Use data science and machine learning principles to develop effective predictive models</li>
<li>Write software to prepare, clean, and sample data for use in developing predictive models</li>
<li>Use cloud resources (e.g., Amazon Web Services) to prepare and process data</li>
<li>Query and extract data from databases (Snowflake)</li>
<li>Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy</li>
<li>Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm</li>
<li>Solve challenging, uncharted problems</li>
<li>Work in an environment that thrives on teamwork and continuous learning opportunities</li>
</ul>
Qualifications:
<ul>
<li>Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred</li>
<li>M.S. or Ph.D. in a related field highly desired</li>
<li>5+ years of experience with machine learning, statistical modeling, and optimization techniques</li>
<li>Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)</li>
<li>Proficient in linear algebra and statistics</li>
<li>Familiar with scientific software principals, e.g. versioning systems, reproducibility</li>
<li>Experience in the manufacturing industry is desired</li>
<li>Must be a US Citizen or Green Card holder (ITAR)</li>
</ul>
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Senior Data Scientist, Costing

<h3>Job Description</h3>
Job Description
About The Role
We're seeking an experienced Manager who can lead and drive our embedded software solutions of consumer electronic products to the next level of performance excellence and evolve the software technology along the products roadmap.&nbsp;This is a position requiring both strong leadership across regions and hands-on technical experience driving towards the best system performance and experience to accommodate foreseeable many years of product roadmap.&nbsp;&nbsp;It requires one to embrace ‘can-do’ attitude and possess business acumen of understanding priorities, cost effectiveness, and significance of on-time deliveries with fast turnaround and well-planned software activities.&nbsp;&nbsp;Hybrid working environment with 3-days/week on-site presence is required for this leadership position.
 
Key Responsibilities:
<ul>
<li>Manage a system performance and triaging team and drive day-to-day activities of cross-functional engineering teams.</li>
<li>Manage the resources of your team including hiring, mentoring and driving continuous improvement.</li>
<li>Utilize deep embedded software experience to drive best-in-class end-to-end software releases and deliverables on-time, driving maintainable, scalable and reusable software design across one or more teams.</li>
<li>Work with staff and peers to develop short- and long-term plans, managing resourcing, prioritization and schedules.</li>
<li>Develop deep understanding of underlying SW/HW architecture, analyze and optimize system performance to the best-in-class quality and ensure engineering/test approaches fit in the overall strategy.</li>
<li>Work collaboratively with software architects, product management, external software teams and cross-functional engineering teams to ensure all teams are in sync and delivering products/features to market on time.</li>
</ul>
 
About You
<ul>
<li>15+ years of demonstrated experience in embedded software development through the full lifecycle (requirements, design, development, test, deployment, operation).</li>
<li>10+ years in an end-to-end cross-functional technical leadership role.</li>
<li>Demonstrated success leading high performing teams.</li>
<li>Experience driving a test-driven development process on engineering teams.</li>
<li>Experience in analyzing and optimizing system performance end-to-end in a structural manner.</li>
<li>Experience in leading system triaging effort and driving to resolution across functions in a structural manner.</li>
<li>Ability to lead teams and delegate appropriately.</li>
<li>Works collaboratively with other managers and teams to identify and solve problems.</li>
<li>Experience with C or C++ in an embedded system, including Linux and Android natives.</li>
<li>Experience with complex embedded software in a resource limited RTOS based system.</li>
<li>Experience with Bluetooth or other wireless communication protocols is a plus.</li>
<li>Experience with Audio processing a plus.</li>
<li>Experience with embedded security a plus.</li>
<li>Strong systems level thinker across hardware, software, user experience, etc.</li>
<li>Has led a team delivering firmware for at least one product successfully launched into mass production.</li>
<li>Strong verbal and written communication skills.</li>
<li>BSEE/BSCS/BSCE (MS preferred) with at least 10 years related work experience.</li>
</ul>

Software Engineering Manager

<h3>Job Description</h3>
Job Description
This is a fully remote opportunity.
Gradient AI: 
 Gradient AI is revolutionizing Group Health and P&amp;C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team. 
About the Role: 
At Gradient AI, we are transforming insurance with advanced machine learning and rich data. We are looking for Senior-level Data Scientists to help shape the future of our underwriting products in the healthcare and care management space by turning complex data into real value for our customers. 
You will work closely with a talented and supportive team to research user needs, prototype new ideas, build production models, and deliver intelligent solutions at scale. If you enjoy solving real problems with real impact in a collaborative and fast-moving environment, this is the role for you! 
How you will make an impact:
<ul>
<li>Design, develop, and implement predictive models for underwriting and patient care management, utilizing machine learning and deep learning techniques.</li>
<li>Analyze large datasets to identify trends, patterns, and anomalies that can inform underwriting decisions and enhance patient care strategies. </li>
<li>Work closely with cross-functional teams, including product management, data engineering, software engineering, actuarial consulting, clinical, and IT, to understand business needs and translate them into data-driven solutions. </li>
<li>Stay current with industry trends, emerging technologies, and best practices in data science and health insurance. Propose innovative solutions to enhance underwriting processes and patient care management. </li>
</ul>
Experience requirements:
<ul>
<li>Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 5+ years of professional data science experience building health insurance underwriting or care management solutions</li>
<li>OR Master's or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 2+ years of professional data science experience building health insurance underwriting or care management solutions </li>
</ul>
Skills needed to succeed: 
<ul>
<li>Advanced proficiency in Python and its core data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, LightGBM, etc.) </li>
<li>Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow, and an understanding of modern architectures (e.g., Transformers, Neural Networks, LLMs). </li>
<li>Strong technical communication and collaboration skills, particularly communicating with nontechnical stakeholders and working collaboratively with engineering/product teams to meet project goals and timelines </li>
<li>Proficiency analyzing and building model utilizing health insurance claims data, electronic medical records, or similar patient health and prescription data. </li>
<li>Fluency in SQL, Relational databases, and Databricks </li>
<li>Fluency in AWS or similar Cloud computing environment </li>
</ul>
Bonus qualifications:
<ul>
<li>Fluency with actuarial methods and working with actuaries is a plus </li>
<li>Experience with MLOps principles and tools such as MLflow to build, deploy, and productionize machine learning models is a nice to have </li>
</ul>
What We Offer:
<ul>
<li>A fun, team-oriented startup culture. </li>
<li>Generous stock options - we all get to own a piece of what we're building. </li>
<li>Unlimited vacation days. </li>
<li>Flexible schedule that supports working from home. </li>
<li>Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more. </li>
<li>Ample opportunities to learn and take on new responsibilities. </li>
</ul>
We are an equal opportunity employer. 
Salary Range: $135-165k base salary annually. This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.

Senior Data Scientist

<h3>Job Description</h3>
Job Description
EverQuote is seeking a Senior Data Scientist to join our growing team! As a member of the Data Science team, you will be instrumental in delivering and deploying artificial intelligence and machine learning models that drive Everquote's long term success.
This is a hybrid role that requires being in office several days a week.
The base salary range for this full-time hybrid position is $106,960-$175,000. Employees, depending on their specific role, level and responsibilities, may be eligible to participate in company variable compensation or equity programs. 
What you'll do:
Work with a cross-functional team to convert business problems into scalable solutions using your knowledge of mathematics, statistics, and machine learning. You will be joining a team of talented and collaborative data scientists and machine learning engineers eager to grow our business and deliver measurable results. You will establish yourself as a technical leader and a valued team member as our team continues to grow.
Who you are:
<ul>
<li>4+ years of professional experience as a data scientist including experience developing and releasing predictive models to production</li>
<li>Bachelor's degree in a technical field such as mathematics, statistics, computer science or economics; Master's degree or PhD in a relevant field preferred.</li>
<li>Demonstrated success turning businesses problems into data problems and developing innovative and unexpected solutions</li>
<li>Ability to explain results to technical and non-technical teammates leveraging your communication skills and data visualization </li>
<li>Demonstrated performance in building machine learning models using standard tools, such as scikit-learn or R, to drive business improvements</li>
<li>Advanced knowledge of applied mathematics and statistics and their common applications in online businesses</li>
<li>Experience with or strong interest in understanding and optimizing online auctions for both bidders and sellers</li>
<li>Experience with or strong interest in optimization using reinforcement learning and contextual multi-armed bandits</li>
<li>Strong skills in statistical and scientific programming in Python or R, fluent in SQL, proficient with Jupyter notebooks</li>
<li>Experience with packaging your code for deployment and reusability</li>
<li>Passionate about sharing knowledge and mentoring teammates, and communicating designs to technical and non-technical stakeholders</li>
<li>Keen sense about data science technologies, stay on top of industry trends and actively help the team to expand the tech stack</li>
<li>Entrepreneurial mindset, want to grow a business, and love working with an Agile team</li>
<li>Thrive in a fast-paced work environment where everyday contributions have a big impact</li>
</ul>
About EverQuote
EverQuote operates a leading online marketplace for insurance shopping, connecting consumers with insurance provider customers, which includes both carriers and agents. Our vision is to be the leading growth partner for property and casualty, or P&amp;C, insurance providers. Our results-driven marketplace, powered by our proprietary data and technology platform, is improving the way insurance providers attract and connect with consumers shopping for insurance.
For more information, visit<a href="https://investors.everquote.com" target="_blank">https://investors.everquote.com</a> and follow onLinkedIn.

<h3>Job Description</h3>
Job Description
Mitsubishi Electric Research Laboratories (MERL) is seeking a self-motivated Ph.D. candidate in Computer Science, Electrical Engineering, or a related field for a 3 month internship focused on developing advanced machine learning algorithms for electric machine condition monitoring and predictive maintenance. The ideal candidate will have a strong background in machine learning and signal processing with a proven publication record, while experience in multi-modal data analysis or domain adaptation is preferred and knowledge of electric machines is a plus. The intern will collaborate with MERL researchers to design and develop novel machine learning algorithms, prepare technical reports, and contribute to manuscripts for top-tier scientific publications. This position requires onsite work at MERL, with a flexible start date.
Required Specific Experience 
<ul>
<li>Experience with Python and Matlab.</li>
</ul>
The pay range for this internship position will be 6-8K per month.
Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.
Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.
In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Internship - Machine Learning for Predictive Maintenance

<h3>Job Description</h3>
Job Description
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry's ML team and technology.
We need a strong data scientist leader to manage our ML &amp; data science research &amp; development and evolve the services that make up the backbone of Xometry's business. The successful candidate will bring experience as a data scientist and machine learning leader working for a company where "AI" is considered core to the company's success. They should have experience bringing new ML models to the market as part of an online platform. They should be comfortable leading a technical team, working with product and executive stakeholders with excellent communication and stakeholder management skills - particularly when bridging technical and non-technical audiences.
We have a lot of ideas on how we can improve these systems. We need help connecting these ideas to business metrics, prioritizing them with input from stakeholders into a roadmap, executing efficiently from research to bringing ML models to market, and providing proactive communication on the vision/direction and status of the work.
Responsibilities:
<ul>
<li>Serve as a strategic leader as part of our data science &amp; machine learning team, with responsibility for Xometry's pricing strategy</li>
<li>Build collaborative relationships with key stakeholders; set priorities aligned to business goals; communicate analysis, strategies, timelines, and work of the data science &amp; machine learning team, and gain buy-in from executive leadership</li>
<li>Incorporate internal and external feedback to iterate and evolve ML models</li>
<li>Practice outcome-oriented/KPI-driven team management: Define metrics that lead to business goals and report on the outcomes of your efforts</li>
<li>Lead complex, cross-team projects to deliver on our product &amp; ML strategy, with a singular focus on driving business results</li>
<li>Play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry's platform</li>
<li>Develop and implement machine learning models that improve Xometry's ability to predict cost, price, and sourcing options for our customers and suppliers.</li>
<li>Responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry's platform</li>
<li>Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry's platform</li>
<li>Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations</li>
<li>Monitor machine learning models and AI performance and troubleshoot issues as they arise</li>
<li>Contribute to the documentation and knowledge base to help other teams understand and use Xometry's AI effectively</li>
</ul>
Qualifications
<ul>
<li>8+ years experience developing and implementing machine learning algorithms, ideally within an online marketplace</li>
<li>Excellent understanding of scalable architectures and thrive working in Agile environments</li>
<li>Recognized expertise in the areas of marketplace optimization and pricing theory</li>
<li>Ability to apply and implement research concepts, ultimately in production quality code</li>
<li>Experience defining clear, testable research hypotheses, including intended impact on the business</li>
<li>Deep knowledge of design of experiments, online experimentation approaches at scale</li>
<li>Ability to formulate and advocate for R&amp;D objectives and results to multi-functional team members including executive business leadership and product management</li>
<li>Experience with your machine learning models running in a real production environment</li>
<li>Experience in end-to-end model development and deployment lifecycle i.e., from prototyping to model development and putting models into production</li>
<li>Strong experience with Python/R, forecasting methodologies, machine learning and statistics,</li>
<li>Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc.,</li>
<li>Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse</li>
<li>PhD in a quantitative field (or BS/MS with equivalent work experience)</li>
<li>Mission-driven, positive attitude, and ability to motivate others</li>
<li>Must be a US citizen, green card holder, or a legal permanent resident of the United States</li>
</ul>
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Director, Data Science

<h3>Job Description</h3>
Job Description
Senior Causal AI Scientist, Research and Development 
Company Overview
Aitia is the leader in the development and application of Causal AI and Digital Twins to discover the next generation of breakthrough drugs in neurodegenerative disorders, oncology, and immunology. By leveraging the convergence of multi-omic patient data, high-performance computing, and causal learning and AI, Aitia is revealing the hidden biological mechanisms of disease to create Digital Twins. Gemini Digital Twins are being used today to discover novel therapies and accelerate R&amp;D in Alzheimer’s Disease, Parkinson’s Disease, Huntington’s&nbsp;Disease, multiple myeloma, prostate cancer, and pancreatic cancer, with several more in development. 
Position Summary
The Senior Scientist will join a dynamic Research and Development team to develop and continue scaling Aitia’s powerful Causal AI and simulation platform and apply the platform to develop Gemini Digital Twins for the discovery of novel causal human drug targets and biomarkers and the simulation of drug candidates and clinical trials.&nbsp; The candidate will work closely with the Engineering Team on implementation of AI algorithms and with the Precision Medicine Team to develop Gemini Digital Twins. &nbsp;&nbsp;The candidate will develop and implement AI tools for automating priors, for integrating multi-omic data into Aitia’s Digital Twins and for AI to automate extraction of features and novel biology.&nbsp; 
They will communicate scientific findings to partners and collaborators and contribute to presentations at scientific conferences and publications.
Principal Duties and Responsibilities:
<ul>
<li>Drive the effort to automate the building of Gemini Digital Twins by incorporating deep learning AI and LLMs into data and prior knowledge pipelines </li>
<li>Drive the effort to automate through deep learning AI and LLMs the extraction of novel biology from the Gemini Digital Twins</li>
<li>Contribute to cross-team efforts to build&nbsp;in silico&nbsp;patient causal AI models and research into novel model applications for neurodegenerative disorders and oncology therapeutic discovery and development</li>
<li>Contribute to novel neurodegeneration and cancer genomics knowledge generation through deep data mining from public/proprietary multimodal datasets.</li>
<li>Communicate technical results clearly and concisely to collaborations, discuss how to incorporate information into their processes, and achieve high impact with biopharmaceutical partners</li>
</ul>
Job qualifications:
<ul>
<li>Advanced degree in quantitative science or Life Science</li>
<li>Experience working with advanced ML techniques, probability theory, Bayesian analysis, or causal inference methods preferred</li>
<li>Solid understanding of statistical analysis principles and expert user of the statistical data analysis tools, such as Python R/Bioconductor or Python.&nbsp;&nbsp;</li>
<li>Experience working with toolsets for automating AI and machine learning workflows. </li>
<li>Experience working with AI stacks such as Torch</li>
<li>Experience working with&nbsp;multi-omics data, single cell data, and high-throughput screening data&nbsp;</li>
<li>Must be a team player and willing to help and ask for help;&nbsp;excellent written and verbal communication skills;&nbsp;excellent interpersonal skills with a proven record of interacting with bench scientists effectively.</li>
</ul>
Company Culture
Our philosophy at Aitia is simple:&nbsp;we cannot transform drug discovery and development with anything less than an all-star team.&nbsp;We are seeking smart, driven people who are experts in their field, have a track record of success, and a passion for creating change.&nbsp;We believe that strong teams supercharge the performance of individuals, create a fun and dynamic workplace,&nbsp;and provide first-class&nbsp;results for our clients and the people they serve. We are passionate about our work and believe in the ability of our technology to change the world. Our core values of integrity, collaboration, value, diversity, and game-changing initiatives guide our behaviors with each other and our clients. Aitia offers competitive salaries, stock options, unlimited vacation, health, dental and vision insurance, life insurance, long-term disability, 401(k), parental leave, tuition reimbursement, professional development, subsidized parking/MBTA pass, tasty food, volunteering opportunities, social gatherings, and more.&nbsp;
Equal Employment Opportunity
Aitia provides equal employment opportunities to all employees and applicants for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity or expression, age, veteran status, disability, pregnancy or conditions related to pregnancy, or genetics. In addition to federal law requirements, Aitia complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Powered by JazzHR
XrwVxtACNV

Senior Causal AI Scientist, Research and Development

<h3>Job Description</h3>
Job Description
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Senior Data Scientist to join our Pricing and Sourcing Science team. This person will leverage advanced statistical modeling and machine learning to understand short-term and longer-term pricing and sourcing dynamics at play in our marketplace. Coupled with rigorous experimentation, you will build scalable and adaptive decision making systems that power core features of our custom manufacturing marketplace. 
Responsibilities:
<ul>
<li>Develop and implement statistical and machine learning models to optimize pricing, lead times, and sourcing strategies.</li>
<li>Design and evaluate experiments (A/B tests, multi-armed bandits, contextual bandits) to enable data-driven decision-making.</li>
<li>Assess competitive pricing trends, market dynamics, and customer behavior to generate strategic insights and drive business growth.</li>
<li>Build and maintain scalable data pipelines with a focus on code quality, reproducibility, and best practices for deployment.</li>
<li>Utilize cloud platforms (AWS, GCP, or Azure) to efficiently process and model large-scale datasets.</li>
<li>Collaborate across teams and clearly communicate insights to both technical and non-technical stakeholders, shaping strategy at the leadership level.</li>
</ul>
Qualifications:
<ul>
<li>Education:</li>
<ul>
<li>Bachelor's degree in Applied Math, Computer Science, Statistics, Engineering, or a related field (Master's or Ph.D. strongly preferred).</li>
</ul>
<li>Experience:</li>
<ul>
<li>5+ years of experience in Data Science, Machine Learning, or Applied Econometrics.</li>
<li>Proven track record developing predictive and causal inference models, preferably in pricing, marketplace, or supply chain contexts. Experience with experimental design and statistical inference in real-world business settings.</li>
</ul>
<li>Technical Skills:</li>
<ul>
<li>Proficiency in Python (pandas, NumPy, SciPy, scikit-learn, TensorFlow/PyTorch preferred).</li>
<li>Strong SQL skills and experience querying large-scale data platforms (e.g., Snowflake, Redshift).</li>
<li>Familiarity with scientific software principles (version control, reproducibility, testing).</li>
<li>Experience with cloud computing (AWS preferred).</li>
</ul>
<li>Business &amp; Communication:</li>
<ul>
<li>Ability to translate data insights into business recommendations.</li>
<li>Strong communication skills, comfortable presenting technical findings to executive stakeholders.</li>
</ul>
<li>Preferred Qualifications:</li>
<ul>
<li>Experience in the Manufacturing or Logistics Industry: Familiarity with the unique challenges and opportunities within these industries.</li>
</ul>
</ul>
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Senior Data Scientist, Pricing & Sourcing

<h3>Job Description</h3>
Job DescriptionAbout Commonwealth Fusion Systems:&nbsp; Commonwealth Fusion Systems is on a mission to deliver the urgent transition to fusion energy. Combining decades of research, top talent, and new technologies, we’re designing and building commercially viable fusion power plants. And working with policymakers and suppliers to build the energy industry of the future.&nbsp; We’re in the best position to make it happen. Since 2018, we’ve raised nearly $3 billion in capital, making us the largest and leading private fusion company in the world. Now we’re looking for more thinkers, doers, builders, and makers to join us. People who’ll bring new perspectives, solve tough problems, and thrive as part of a team.&nbsp; If that’s you and this role fits, we want to hear from you. Join the power movement as a Scientist - Scenarios and Integrated Modeling Scientist - Scenarios and Integrated Modeling will develop plasma physics scenarios for SPARC and ARC based on comprehensive integrated simulation and modeling of the core and edge plasma.&nbsp; Will coordinate with a multi-institutional team of plasma physics experts to develop and improve an integrated modeling toolset, and to employ that toolset for experimental planning and analysis on SPARC.&nbsp;&nbsp;Commonwealth Fusion Systems is assembling the high-field SPARC tokamak, which aims to be the first magnetic fusion device to achieve net fusion energy, and is predicted to be able to achieve high gain and fusion power up to 140MW.&nbsp; In parallel CFS is designing and optimizing the ARC fusion power plant, the first of which will be built in Virginia in the early 2030s.&nbsp;&nbsp; To achieve SPARC’s goals and validate the physics understanding necessary for optimizing ARC, we plan to develop and continuously improve a comprehensive predictive toolchain, including all physics capabilities needed to evaluate plasma scenario performance and robustness.&nbsp;&nbsp; The person in this role will coordinate and contribute to&nbsp; the development and testing of this toolchain, and its use in planning and executing experiments on SPARC, as well as in development and optimization of future power plants.&nbsp;&nbsp; The person in this role will also play a key role in defining plasma operation goals, identify optimal operation scenarios for each goal, and participate directly in execution and analysis of SPARC operations.What you'll do:
<ul>
<li>Refine, optimize, and validate a comprehensive integrated modeling toolset capable of predicting plasma performance and dynamics</li>
<li>➢&nbsp; Toolset will include models of: core turbulent and neoclassical transport, H-mode pedestal and L-mode edge, coupling to boundary, ICRH heating, energetic particle physics, MHD stability, and impurity transport</li>
<li>➢&nbsp; Toolset will include very rapid execution workflows appropriate for control, rapid execution workflows appropriate for experiment planning and optimization, as well as higher fidelity models for offline analysis and deeper exploration of critical physics</li>
<li>Work closely with a multi-institutional team of experts to incorporate state-of-the-art physics capabilities, and validate models</li>
<li>Employ integrated modeling tools to plan and execute plasma pulses to achieve key goals including net fusion power on SPARC, and continuously improve toolset as new data becomes available</li>
<li>Identify, execute, and continuously improve operational scenario for achieving SPARC goals</li>
<li>Work closely with physics, diagnostics, operations, plasma control, and software teams to design and execute plasma scenarios on SPARC</li>
<li>Contribute to physics design and optimization of ARC</li>
</ul>
What we’re looking for:
<ul>
<li>PhD in plasma physics or a closely related discipline&nbsp;</li>
<li>Minimum 2 years post-PhD experience in magnetic fusion</li>
<li>Significant experience with fusion plasma simulation and modeling software</li>
<li>Significant experience in planning, executing, and/or analyzing fusion experiments</li>
<li>Expertise in magnetic fusion experiment and simulation</li>
<li>Strong insight on physics issues associated with integration of regions (core, edge, boundary) and physics (transport, MHD, heating, plasma material interaction..) in magnetic fusion systems</li>
<li>Strong teamwork skills</li>
<li>Ability to communicate ideas and results clearly</li>
<li>Results focused with understanding of the fusion goal</li>
<li>Ability to think clearly and perform well under pressure</li>
</ul>
Bonus points for:
<ul>
<li>5+ years post-PhD experience, including hands-on experience planning and executing magnetic fusion experiments, and experience using and developing fusion simulation codes</li>
<li>Fusion experiment planning and control room experience</li>
<li>Familiarity with tokamak simulation tools including core transport models, pedestal/edge models, boundary models</li>
<li>Experience with plasma transport codes such as TRANSP, IPS-FASTRAN, ASTRA, JINTRAC, TGYRO.</li>
<li>Failiarity with ICRF physics and operation</li>
<li>Familiarity with MHD physics, and impact of non-axisymmetric fields</li>
<li>Failiarity with tokamak plasma breakdown, rampup and rampdown</li>
<li>Experience developing fusion simulation codes</li>
<li>Experience integrating simulation tools into a robust toolchain</li>
<li>Familiarity with Python, C++, Fortran, and git version control</li>
<li>Experience with broad based fusion collaborations, ideally including international collaborations</li>
</ul>
Must-have Requirements:
<ul>
<li>Perform extended activities such as typing, standing, sitting, etc.</li>
<li>Willingness to travel or work required nights/weekends/on-call regularly</li>
<li>Work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, high current, pressure systems, and cryogenics</li>
</ul>
Salary range for this full-time position + equity + benefits.&nbsp;The actual salary will depend on level, location, qualifications, and experience. The range displayed on each job posting reflects new hire salaries for the position across all US locations. Benefits include:•&nbsp; Competitive compensation with equity•&nbsp; 12.5 Company-wide Holidays•&nbsp; Flexible vacation days•&nbsp; 10 sick days•&nbsp; Generous parental leave policy•&nbsp; Health, dental, and vision insurance•&nbsp; 401(k) with employer matching•&nbsp; Professional growth opportunities•&nbsp; Team-building activities#LI-Hybrid At CFS, we excel in fast-paced environments, driven by our values of integrity, execution, impact, and self-critique. As we grow, we’re eager to bring on mission-driven folks who offer diverse perspectives and fresh ways to tackle challenges. We value diversity deeply and are proud to be an equal opportunity employer by choice. We consider all qualified applicants equally, regardless of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law. This role requires compliance with U.S. laws concerning the export of controlled or protected technologies or information (collectively, “Export Control Laws"). Any offer of employment will be contingent on the need for compliance with such Export Control Laws.

4,771 Technology Jobs