Senior Computational Scientist Job at SRG (Cambridge)

Senior Theoretical & Computational Scientist

Define the physics foundation powering the next generation of high-field magneti...

Location

United States , Madison

Salary:

Not provided

Realta Fusion Inc.

Expiration Date

Until further notice

Requirements

PhD in Plasma Physics, or a related field + minimum of 5 years’ experience in theoretical and computational plasma physics research.
Extensive experience with MHD equilibrium and linear stability calculations, and Extended-MHD / multi-fluid plasma simulations with codes such as NIMROD or JOREK.
Familiarity with Fokker-Planck, particle-in-cell (PIC) and RF heating simulation tools, such as WarpX, VPIC, Genray, AORSA, CQL3D.
Basic knowledge of standard plasma diagnostics (e.g. bolometers, electrostatic ion energy analyzers, interferometers, magnetic measurements) and analysis techniques.
Understanding of magnetically confined fusion plasma heating and current drive technologies, such as bias-induced rotation, electron cyclotron heating, neutral beam injection and RF heating.
Collaboration: Exceptional interpersonal and communication skills (written and verbal) to collaborate effectively with colleagues, external partners, and stakeholders.
Demonstration of innovation capacity through IP generated and/or publications in the field.

Job Responsibility

Develop complex research methodologies and procedures to identify solutions in a magnetic mirror fusion research device and optimize the design of Realta’s next fusion devices.
Lead and participate in several theoretical and computational projects to advance the physics basis for the axisymmetric mirror, with a focus on validation and then extrapolative design to future devices.
Interface with the experimental physics, engineering and business leadership teams to deliver technical milestones.
Conduct literature reviews, prepare reports and materials, and disseminate information to appropriate entities.
Identify, write, or assist in developing grant opportunities, grant applications, proposals and other materials to secure funding in a startup-environment.
Serve as an institutional subject matter expert and liaison with key internal and external stakeholders providing expert level information and representing the interests of a specialized research area.
Contribute to the establishment of company safety standards and implement these standards within the R&D team.
Foster a positive and inclusive work environment that aligns with the company's mission, values, and sustainability goals, promoting innovation, collaboration, and employee engagement.

What we offer

Competitive compensation package, including equity stock options
Comprehensive benefits including health, dental, and vision insurance, plus a 401(k)
Flexible paid time off (PTO) to support work-life balance
Work and live in Madison, Wisconsin

Fulltime

Senior Scientist – Research Computational Biology (ARIA)

Join Amgen’s Mission of Serving Patients. The ARIA Computational Biology team is...

Location

United States , South San Francisco; Boston; Thousand Oaks

Salary:

146404.00 - 198076.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

PhD in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable]
Master’s degree in computational biology, bioinformatics, data science, or a related discipline and 3 years of relevant research experience
Bachelor’s degree in computational biology, bioinformatics, data science, or a related discipline and 5 years of relevant research experience
Strong background in cardiometabolic disease and/or immunology, including applications in the interpretation of single-cell data
Proficient in extracting actionable mechanistic insights from complex biological datasets through development and creative application of AI/ML-based analytical strategies
Strong programming skills (Python, R, Linux/Unix) and experience with cloud computing environments, HPC, and collaborative coding practices (e.g., Git)
Track record of designing and executing creative and holistic computational strategies to address challenging research questions
Proven expertise in the analysis and interpretation of single-cell omics data
Excellent communication and presentation skills, with the ability to convey complex concepts to diverse audiences
Self-motivated, collaborative, and committed to continuous learning and growth

Job Responsibility

Deriving biological insight from complex multi-modal omics and perturbation screening data to characterize disease endotypes and mechanisms, identify novel targets and biomarkers, and test therapeutic hypotheses
Conducting innovative, collaborative research in close partnership with Amgen therapeutic area scientists and our Discovery Sciences, Advanced Technologies, and AI (DATA) team, spanning discovery platforms, internal pipeline programs, and external partnerships

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Fulltime

Senior Scientist – Research Computational Biology Platforms

The ARIA Computational Biology team is seeking a talented and creative computati...

Location

United States , South San Francisco; Boston; Thousand Oaks

Salary:

146404.00 - 198076.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

PhD in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable]
Master’s degree in computational biology, bioinformatics, data science, or a related discipline and 3 years of relevant research experience
Bachelor’s degree in computational biology, bioinformatics, data science, or a related discipline and 5 years of relevant research experience
Strong programming expertise in Python and R, with proficiency in Linux/Unix environments, cloud computing, HPC, and collaborative development practices (e.g., Git)
Experience developing complex computational tools and visualizations that translate biological insights into actionable strategies
Experience developing and deploying computational tools and pipelines, including use of workflow management systems (e.g., Nextflow), CI/CD practices, and interactive visualization tools (e.g., Shiny/Streamlit)
Strong background in molecular and systems biology
Demonstrated expertise in the analysis and interpretation of single-cell omics data
Experience leveraging and fine-tuning transcriptional foundation models, large language models (LLMs), and biomedical knowledge graphs to advance research objectives
Familiarity with high-value public data resources (e.g., DepMap, Human Cell Atlas, TCGA, GTEx, and Tahoe-100M) used to complement and enhance analyses of internal datasets

Job Responsibility

Developing and applying methods and platforms to discover, prioritize, and validate targets across a broad range of diseases and therapeutic modalities
Designing and building a Precision Targeting Engine that integrates internal and high-value public data into an automated, scalable framework with custom expression analytics across diverse data types and disease areas
Contributing to the design and evolution of Amgen’s preclinical omics data ecosystem in partnership with the Research Informatics team
Evaluating and integrating emerging AI/ML technologies (e.g., biological foundation models), and developing custom research agents to accelerate early pipeline efforts
Partnering with data science and information systems teams to embed tools and analyses developed within ARIA Computational Biology into integrated R&D platforms
Training and mentoring other scientists in the use of advanced research tools and platforms

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Fulltime

Senior Scientist – Research Computational Biology

Join Amgen’s Mission of Serving Patients. The ARIA Computational Biology team is...

Location

United States

Salary:

143320.00 - 174539.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable]
Master’s degree and 3 years of relevant research experience
Bachelor’s degree and 5 years of relevant research experience
Strong programming skills (Python, R, Linux/Unix), familiarity with cloud computing environments, HPC, and collaborative coding practices (e.g., Git)
Track record of designing and implementing creative and holistic computational strategies to address challenging research questions
Demonstrated expertise in the analysis and interpretation of single cell omics data
Excellent presentation and communication skills to convey complex findings to diverse audiences
Self-starter with a collaborative mentality and a drive for continuous growth

Job Responsibility

Extracting biological insight from complex multi-modal omics and screening data to characterize disease endotypes and mechanisms, identify novel targets and biomarkers, and test therapeutic hypotheses
Developing and leveraging methods/platforms to discover, prioritize, and validate targets across diverse diseases and therapeutic modalities
Innovative research in close partnership with Amgen therapeutic area scientists, spanning both internal pipeline programs and external partnerships
Partnering with our data science and information systems teams to incorporate tools and analyses developed within ARIA Computational Biology into integrated R&D platforms

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models, including remote and hybrid work arrangements, where possible

Fulltime

Scientist / Senior Scientist, Multimodal AI

Altos Labs is building a world-class AI ecosystem to solve the most complex prob...

Location

United States , San Francisco Bay Area, CA; San Diego, CA

Salary:

188600.00 - 330000.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

PhD in Computer Science, AI/ML, Biomedical Engineering, or a related quantitative field
Deep experience building and deploying modern Computer Vision architectures (Vision Transformers, U-Nets, Self-Supervised Learning)
Proven experience training and fine-tuning large models at scale using frameworks like PyTorch Distributed, DeepSpeed, or Jax
Expert-level Python skills, with a focus on building production-ready machine learning code and large-scale data management systems
A track record of technical contributions via high-impact publications (CVPR, ICCV, NeurIPS, etc.) or significant contributions to open-source ML frameworks

Job Responsibility

Model Development: Design, code, and train large-scale foundation models (e.g., Vision Transformers, Multimodal LLMs) that can embed spatial data and integrate multiple modalities
Hands-on Data Fusion: Implement innovative cross-domain mapping and fusion strategies to synchronize heterogeneous biological datasets
Scaling & Training: Build and manage high-performance ML pipelines capable of processing petabyte-scale image repositories and multi-omics streams in a cloud environment
Technical Collaboration: Work directly in the trenches with experimental scientists and software engineers to translate biological complexity into performant code and reliable distributed systems

Fulltime

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Da...

Location

United States , Boston, MA/San Ramon, CA

Salary:

100000.00 - 160000.00 USD / Year

Berkshire Hathaway Specialty Insurance

Expiration Date

Until further notice

Requirements

Advanced degree (Master’s or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline
Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics
Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions)
Strong applied statistics skills for: Risk modeling
Predictive analytics
Pricing & underwriting analytics
Catastrophe exposure analysis
Proficiency in statistical and machine learning techniques, including: Regression (GLM, GAM, GAMMs)
Time-series forecasting
Gradient boosting, random forests, and other tree-based models, neural networks models

Job Responsibility

Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets
Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk
Work with domain experts across teams and perils to enhance our use of available data
Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions
Conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities

What we offer

Comprehensive Health, Dental and Vision benefits
Disability Insurance (both short-term and long-term)
Life Insurance (for you and your family)
Accidental Death & Dismemberment Insurance (for you and your family)
Flexible Spending Accounts
Health Reimbursement Account
Employee Assistance Program
Retirement Savings 401(k) Plan with Company Match
Generous holiday and Paid Time Off
Tuition Reimbursement

Fulltime

Applied Scientist / Senior Applied Scientist

Do you want to help build innovative tools that empower AI Agents to achieve the...

Location

Ireland , Dublin

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND proven years of experience (e.g., statistics, predictive analytics, research)
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND years related experience (e.g., statistics, predictive analytics, research)
Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND demonstrated years of related experience (e.g., statistics, predictive analytics, research)
equivalent experience
Proven years of experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping
Proven years of experience with transformer-based models (e.g., GPT, Llama)
Coding and hands-on experience working with foundation models
Ability to apply research, preferring the large-scale application of new ideas over theory and prototypes
Demonstrated collaboration and communication skills, both within-team and cross-team, and experience working through problems in ambiguous environments adapting to new research challenges as technology develops
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role

Job Responsibility

Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products
Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders
Serving as a bridge between research and product
Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices
Many of the things you will try should lead to unexpected outcomes
You must be comfortable learning from experience, developing new hypotheses, and iterating
Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven
Effectively communicating with product leaders (and often MSR researchers) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts

Fulltime

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Da...

Location

United States , Atlanta, GA/Boston, MA/San Ramon, CA

Salary:

100000.00 - 160000.00 USD / Year

Berkshire Hathaway Specialty Insurance

Expiration Date

Until further notice

Requirements

Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
Advanced knowledge of probability theory, statistics, and machine learning methods is required
Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
Strong written and verbal communication skills
Strong programming skills in Python (preferred), R, and SQL
Experience and understanding of relational and non-relational databases preferred
Comfort working within git-based version-control environments

Job Responsibility

Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets
Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk
Work with domain experts across teams and perils to enhance our use of available data
Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions

What we offer

Comprehensive Health, Dental and Vision benefits
Disability Insurance (both short-term and long-term)
Life Insurance (for you and your family)
Accidental Death & Dismemberment Insurance (for you and your family)
Flexible Spending Accounts
Health Reimbursement Account
Employee Assistance Program
Retirement Savings 401(k) Plan with Company Match
Generous holiday and Paid Time Off
Tuition Reimbursement

Fulltime

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