Scientific Researcher Jobs
Scientific Researcher jobs are open across academia, biotech, pharmaceuticals, government labs, and technology, from entry-level research associate to principal scientist and research director, with specializations in molecular biology, data-driven experimentation, and computational modeling. See the openings below and apply to the ones that match your experience.
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Your Impact at LILA
Lila is building a platform where AI and automation co-evolve to accelerate scientific discovery. Our AI Research team is looking to hire a ML Research Scientist to focus on building scientific problems and environments to evaluate frontier LLMs on.
What You'll Be Building
- Design and prototype new evals and environments for science — creating high-quality evaluations, identifying environment failures, and patching model capability gaps.
- Invent new types of RL environments — explore creative ways to turn scientific workflows, simulators, and real-world tasks into training signal.
- Build end-to-end pipelines for synthetic environment generation — transforming raw assets (papers, codebases, lab protocols) into validated, versioned training environments at scale.
- Prototype and validate environment designs — from initial concept through reward shaping, data collection, and integration with the training loop.
What You'll Need to Succeed
- Experience applying ML or computation to biology, chemistry, or material sciences.
- A strong track record of creating environments or evaluations for model training
- Experience building large, complex data pipelines for model training or production.
- Strong prototyping and coding skills — comfortable quickly building and iterating on new ideas in Python.
- Creativity and research intuition — ability to identify promising directions, design experiments, and navigate ambiguity.
- Solid software engineering fundamentals — clean code, version control, testing, and ability to integrate experimental work into shared infrastructure.
Bonus Points For
- Demonstrated experience training large language models
- Strong publication track record at conferences such as NeurIPS, ICML, and ICLR.
- Strong Python programming skills, including research and production infrastructure
- Familiarity with distributed compute (Ray, Modal) or LLM inference systems (vLLM, batching strategies).
- Experience with async Python, Pydantic, and workflow orchestration frameworks (Flyte, Airflow).
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
Your Impact at LILA
Lila is building a platform where AI and automation co-evolve to accelerate scientific discovery. Our AI Research team is looking to hire a ML Research Scientist to focus on building scientific problems and environments to evaluate frontier LLMs on.
What You'll Be Building
- Design and prototype new evals and environments for science — creating high-quality evaluations, identifying environment failures, and patching model capability gaps.
- Invent new types of RL environments — explore creative ways to turn scientific workflows, simulators, and real-world tasks into training signal.
- Build end-to-end pipelines for synthetic environment generation — transforming raw assets (papers, codebases, lab protocols) into validated, versioned training environments at scale.
- Prototype and validate environment designs — from initial concept through reward shaping, data collection, and integration with the training loop.
What You'll Need to Succeed
- Experience applying ML or computation to biology, chemistry, or material sciences.
- A strong track record of creating environments or evaluations for model training
- Experience building large, complex data pipelines for model training or production.
- Strong prototyping and coding skills — comfortable quickly building and iterating on new ideas in Python.
- Creativity and research intuition — ability to identify promising directions, design experiments, and navigate ambiguity.
- Solid software engineering fundamentals — clean code, version control, testing, and ability to integrate experimental work into shared infrastructure.
Bonus Points For
- Demonstrated experience training large language models
- Strong publication track record at conferences such as NeurIPS, ICML, and ICLR.
- Strong Python programming skills, including research and production infrastructure
- Familiarity with distributed compute (Ray, Modal) or LLM inference systems (vLLM, batching strategies).
- Experience with async Python, Pydantic, and workflow orchestration frameworks (Flyte, Airflow).
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
See All 28 Scientific Researcher Jobs
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Find Scientific Researcher JobsScientific Researcher Job Market
Who's Hiring
Top Industries Hiring
- Education
- Healthcare & Medical Services
What Employers Look For
The qualifications that appear most often in scientific researcher jobs.
- Ph.D. or master's degree in a relevant scientific discipline
- Demonstrated experience designing and executing independent research projects
- Proficiency with statistical analysis software such as R, Python, or MATLAB
- Familiarity with laboratory safety protocols and institutional review board procedures
- Peer-reviewed publications or conference presentations in a relevant field
- Experience writing grant proposals or contributing to funded research applications
Tips for Your Scientific Researcher Job Search
Tailor your resume to each study area
Generic lab skills lists won't cut it for scientific researcher roles. Lead with your specific methodology, whether that's CRISPR workflows, mass spectrometry, or machine learning pipelines, and name the exact instruments and software you've used so hiring managers can place you immediately.
List publications and preprints prominently
Many scientific researcher postings screen on publication record before they ever read a cover letter. Put your publications section above work history if you have peer-reviewed output, and include any preprints or conference proceedings that show active research output.
Apply early to roles that fit
Migrate Mate lists scientific researcher openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by funding source and setting
Industry labs, federal agencies, and academic institutions have very different hiring criteria and timelines. Reading the posting carefully for grant-funded versus permanent positions saves you from preparing the wrong application materials and sets realistic expectations on start dates.
Prepare a research narrative for interviews
Scientific researcher interviews almost always include a presentation or chalk talk on your past work and future directions. Practice explaining your research problem, your approach, your results, and your next questions in plain language a non-specialist committee member can follow and remember.
Negotiate startup packages, not just salary
In research roles, your lab budget, equipment access, postdoc headcount, and conference travel allowance matter as much as base pay. When you receive an offer, ask specifically about discretionary research funds and what equipment is shared versus dedicated to your position.
Scientific Researcher Jobs: Frequently Asked Questions
Which companies are hiring the most scientific researchers?
The most active employers for scientific researchers right now are Northeastern University, Lila Sciences, and University of Maine, and the most openings are in California, Massachusetts, and Maine, based on current listings on Migrate Mate as of November 2026. Demand is especially consistent in pharmaceutical R&D and federally funded research institutions.
How many scientific researcher jobs are remote?
About 33% of scientific researcher openings are fully remote or hybrid as of November 2026, though the share varies sharply by specialty. Computational research, bioinformatics, and data analysis roles are most likely to offer remote flexibility, while wet-lab and instrumentation-dependent positions almost always require on-site presence.
How do you become a scientific researcher?
Most scientific researcher careers begin with a bachelor's degree in a natural or applied science, followed by a master's or doctoral program where you develop independent research skills. After your degree, postdoctoral appointments or industry research associate roles build your publication record and specialized expertise. Networking at conferences and publishing consistently are what move candidates from trainee roles into full researcher positions.
Can you get a scientific researcher job with little or no experience?
Entry-level scientific researcher roles do exist, particularly as research associates or junior scientists in industry and government labs. Hiring managers in these roles weigh hands-on lab technique, undergraduate thesis work, independent projects, and any published or presented research heavily. If your formal experience is limited, completing a relevant internship or contributing to open research projects strengthens your application considerably.
What does the scientific researcher interview process look like?
The process typically starts with a phone screen covering your research background and fit with the team's focus area. This is followed by an on-site or virtual loop that includes a research presentation or chalk talk, one-on-one meetings with team members and leadership, and sometimes a written problem or case exercise. Final-round interviews in academia often involve a public seminar, while industry roles may include a brief technical assessment.
Where can I find and apply to scientific researcher jobs?
You can find and apply to scientific researcher jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your specialty and experience level, then apply directly to each listing that fits. All active positions are updated regularly so the openings you see reflect what employers are hiring for right now.
See All 28 Scientific Researcher Jobs
Find roles that match your experience and apply in just a few clicks.
Find Scientific Researcher Jobs