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Temporary Machine Learning Postdoc Jobs in Massachusetts

POSTDOCTORAL ASSOCIATE , Mechanical Engineering , to perform cutting-edge research on projects centered around machine learning models for Computer Aided Design and Engineering Design in the Design ...

Post-Doctoral Fellow

Worcester, MA ยท On-site

$65K - $75K/yr

The postdoc is expected to lead research activities, including multimodal data integration and pre-processing , development and validation of predictive machine learning models, communication of the ...

Postdoctoral Research Associate

Boston, MA ยท On-site

$60K - $85K/yr

## Postdoctoral Research AssociateApplylocations: Boston, MA (Main Campus)time type: Full timeposted ... Coding and/or machine learning experience **Key Responsibilities & Accountabilities*** Conduct ...

Showing results 21-40

Temporary Machine Learning Postdoc information

What is a temporary machine learning postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

What skills and qualifications are needed to thrive as a temporary machine learning postdoc?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a temporary machine learning postdoc expect to engage in?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is the difference between Temporary Machine Learning Postdoc vs Data Scientist?

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

What are the most commonly searched types of Machine Learning Postdoc jobs in Massachusetts?

The most popular types of Machine Learning Postdoc jobs in Massachusetts are:

What are popular job titles related to Temporary Machine Learning Postdoc jobs in Massachusetts?

For Temporary Machine Learning Postdoc jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning Postdoc jobs in Massachusetts look for?

The top searched job categories for Temporary Machine Learning Postdoc jobs in Massachusetts are:

What cities in Massachusetts are hiring for Temporary Machine Learning Postdoc jobs?

Cities in Massachusetts with the most Temporary Machine Learning Postdoc job openings:

Senior Scientist, Machine Learning

Cambridge, MA โ€ข On-site

Flagship Pioneering
Biotechnology Research and Developmentย โ€ขย 51 - 200 employees

$100K - $136K/yr

Other

Medical, Retirement

Re-posted 25 days ago


Job description

What ifโ€ฆ

you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologiesin order totransform health care and sustainability?

Flagship Labs 129 (FL129) is an early-stage biotechnology startup with an ambitious and exciting mission:to develop a technology tofacilitatethe data generation necessary for training the next generation of generative chemistry models to unlock the future of small molecule drug discovery. FL129 is developing a revolutionary approach to this challenge and is recruiting a team of top-tier scientists to build this powerful and first-in-category platform. This is a unique opportunity to be one of the first employees of a biotech startup that combines an innovative mindset with the resources andknow-howof Flagship Pioneering.

Position Summary:

We are seeking a motivated and highly collaborative Senior Scientist to join FL129โ€™s growing team of experimental and computational scientists to build a novel platform technology. The successful candidate will have strong track record of scientific and technical innovation in machine learning for molecular modeling (proteins and/ small molecular ligands). Additional experience with computational docking methods is preferred. The ideal teammate will be highly adaptable, have strong organizational and communication skills, and will thrive in a highly collaborative and multidisciplinary environment.

Key Responsibilities:
  • Technology development , aligned with FL129โ€™s core strategic goals. This role is among the first hires, andweโ€™relooking for someone who thinks critically and will influence the companyโ€™s scientific direction.
  • Development, training, validation, and application of novel generative chemistry andmolecular models
  • Curate training and benchmark datasets, and design and implement rigorous benchmarks to assess model performance.
  • Optimizeexisting workflows andestablishbest experimental and documentation practices to enable platform excellence.
  • Close collaboration with wet lab scientific team to drive achievement of key project goals.
  • Translate experimental data into meaningful insights and present results at team meetings.
Preferred Qualifications:
  • Ph.D. in machine learning, computational biology, or a similar field with 5+ years of industry or postdoctoral experience.
  • Familiarity with SOTA models such as Boltz-2, ESM-2, Chai-2 andrelated.
  • Experience training and fine-tuning molecular models for taskssuch as:protein language modeling, protein structure prediction, binder prediction, protein design, protein engineering, small molecule pose prediction, and related.
  • Experience curating publicly available datasets, including mutational scanning data.
  • Expertisewitha high-level programming language such as Python and modern HPC and cloud compute workflows.
  • Nice to have: Deep structural understanding of proteins.
  • Motivated team-player and independent force-of-nature with strong organizational and written/verbal communication skills.
What we can offer you:
  • Opportunity to lay the scientific foundation of a transformative platform company as an early employee.
  • Custom-tailored role to maximize impactful contributions, professional growth, and scientific interests.
  • Weekly lunches, monthly social events, and community lunchroom with free snacks, coffee, all embedded in a vibrant community of scientists and entrepreneurs across multiple Flagship Pioneering portfolio companies.

We are seeking individuals with an entrepreneurial spirit,strong communicationskills, and comfort in working in and contributing to a dynamic and cross-functional team environment. The level of the role will becommensuratewith the education and years of experience of the identified candidates.

Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, genderidentityor Veteran status.

Recruitment & Staffing Agencies

: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, โ€œFSPโ€) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneeringโ€™s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto

Privacy Notice for Applicants:

When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.

The salary range for this role is $168,000 - $258,500. Compensation for the role will depend on a number of factors, including a candidateโ€™s qualifications, skills, competencies, and experience. FL129 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL129's good faith estimate as of the date of publication and may be modified in the future.

Privacy Notice for Applicants:

When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.

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