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Full Time Postdoc Bioengineering Jobs (NOW HIRING)

Princeton University

Research Technician

Princeton, NJ · On-site

$50K - $55K/yr

... Darling Bioengineering Institute & Princeton Neuroscience Institute, are hiring a postdoctoral ... a full-time position; salaries for part-time positions are pro-rated accordingly. If the salary ...

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Full Time Postdoc Bioengineering information

Is there a demand for bioengineers?

The demand for bioengineers, including full-time postdoctoral researchers in bioengineering, is growing due to advances in medical technology, regenerative medicine, and biotechnology industries. Skills in molecular biology, biomaterials, and laboratory techniques are highly valued, and employment opportunities are available in academia, healthcare, and industry sectors.

What is the difference between Full Time Postdoc Bioengineering vs Research Scientist Bioengineering?

AspectFull Time Postdoc BioengineeringResearch Scientist Bioengineering
Required CredentialsPhD in Bioengineering or related fieldMaster's or PhD in Bioengineering or related field
Work EnvironmentAcademic labs, universities, research institutionsIndustry R&D labs, biotech companies, research institutions
Employer & Industry UsagePrimarily academic, postdoctoral trainingIndustry-focused research, product development
Common Search & Comparison IntentUnderstanding postdoctoral roles in bioengineeringExploring industry research careers in bioengineering

While both roles require advanced degrees in bioengineering, a Full Time Postdoc Bioengineering is typically an academic research position focused on training and publishing, whereas a Research Scientist Bioengineering is an industry role centered on applied research and product development. The choice depends on whether you aim for an academic or industry career path.

How much do molecular biology postdocs make?

Molecular biology postdocs typically earn between $50,000 and $65,000 annually, depending on the institution, location, and experience. Full-time postdoctoral researchers in bioengineering or related fields often receive benefits such as health insurance and research stipends, with salaries increasing with years of experience and funding sources.

What are the highest paying bioengineering jobs?

In bioengineering, high-paying roles include senior research scientists, biomedical engineering managers, and biotech executives, often requiring advanced degrees and specialized skills. Positions in pharmaceutical or medical device companies tend to offer higher salaries, especially with experience in regulatory affairs, product development, or leadership. These roles typically involve complex problem-solving, project management, and knowledge of industry-standard tools and regulations.

Can a biomedical engineer make 200k?

A full-time postdoctoral biomedical engineer typically earns less than $200,000 annually, as postdoc salaries generally range from $50,000 to $70,000. Achieving a $200,000 salary usually requires transitioning into senior roles, industry positions, or specialized fields with higher compensation, often involving additional experience, skills, or leadership responsibilities.
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Full Time Postdoc Bioengineering jobs near you
Infographic showing various Full Time Postdoc Bioengineering job openings in the United States as of July 2026, with employment types broken down into 8% Locum Tenens, 85% As Needed, 6% Full Time, and 1% Summer. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.
Postdoctoral AI Researcher in AI/ML for Cellular and Protein Computational Biology

Postdoctoral AI Researcher in AI/ML for Cellular and Protein Computational Biology

Harvard University

Cambridge, MA • On-site

Full-time

Re-posted 3 days ago

Harvard University rating

8.4

Company rating: 8.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

80th of 553 rated colleges and universities

Job description

Position
Details
Title
Postdoctoral AI Researcher in AI/ML for Cellular and Protein Computational Biology
School
Faculty of Arts and Sciences
Department/Area
Kempner Institute at Harvard University
Position Description
The Kempner Institute at Harvard University seeks early-career researchers to help shape the future of AI as Postdoctoral AI Researchers. We are looking for candidates with deep expertise in modern AI/ML and a strong record of research accomplishment who are excited to develop new AI approaches for high-impact problems in cellular and protein computational biology.
This role focuses on applying modern AI/ML methods to protein and cellular biology, including protein structure prediction, protein-protein and small-molecule-protein docking, cell state prediction from large-scale Perturb-seq datasets, and multimodal modeling of protein function and cellular state.
We seek candidates with strong technical preparation in modern AI/ML, a demonstrated record of scholarly achievement, and experience in computational biology or biological data analysis. Strong candidates may come from protein-focused, cell-state-focused, or multimodal biological modeling backgrounds and will have expertise in one or more of the following areas:
  • foundation model training, evaluation, and adaptation
  • protein structure modeling and docking
  • cell state prediction from large-scale perturbation datasets
  • multimodal modeling for protein function and cellular state prediction
  • familiarity with AlphaFold, RFDiffusion, CellCap, or related models for protein and cellular biology

Postdoctoral AI Researchers will work closely with Kempner faculty, researchers, and students on foundational machine learning and biologically informed scientific applications. The position is particularly well-suited to candidates eager to apply their technical expertise in modern AI to important problems in protein biology, cellular systems, and biological intelligence, while continuing to grow as scholars within a collaborative academic environment.
Candidates should be within 2 years of receiving their doctoral degree and will work under the direction of Kempner Institute faculty.
Appointment Terms
  • Postdoctoral AI Researchers conduct research under the general supervision of one or more Harvard faculty members.
  • The appointment is for one year; reappointment may be possible for up to a total of three years, contingent on funding, project needs, satisfactory performance, and mutual interest.
  • This is a full-time, benefits-eligible postdoctoral appointment based at the Kempner Institute at Harvard University.
  • Due to the importance of in-person mentoring and collaboration, this position is based on campus, full-time, at Harvard University. Remote work for this position is not possible.

Basic Qualifications
  • PhD in computer science, statistics, electrical engineering, applied mathematics, computational biology, bioengineering, biophysics, or a related quantitative field required by the expected start date.
  • Candidates must have received their PhD on or after September 15, 2024, or be on track to complete all PhD requirements by the expected start date of October 15, 2026.
  • Demonstrated expertise in modern AI/ML, including deep learning and hands-on experience with frameworks such as PyTorch or JAX.
  • Strong publication record in leading venues such as ICML, ICLR, NeurIPS, RECOMB, ISMB, or comparable conferences and journals, and/or substantial open-source research contributions.
  • Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models.
  • Strong programming skills in Python and experience building and maintaining research code.
  • Demonstrated ability to use modern AI-assisted and agentic coding tools effectively, such as Claude Code, Codex, or similar systems, in research and development workflows.
  • Experience in computational biology, biological data analysis, protein modeling, cellular modeling, or related areas.
  • Ability to work effectively in a collaborative research environment and communicate technical work clearly.

Additional Qualifications
  • Experience with foundation model training, post-training, adaptation, or evaluation.
  • Experience with protein structure modeling, protein-protein docking, or small-molecule-protein docking.
  • Experience with cell state modeling from large-scale perturbation datasets, including Perturb-seq or related data.
  • Experience with multimodal modeling for protein function or cellular state prediction.
  • Familiarity with models and methods relevant to protein and cellular biology, including AlphaFold, RFDiffusion, CellCap, or related systems.
  • Experience with large-scale datasets, distributed training, or high-performance computing environments.
  • Expertise in scientific applications of AI/ML in protein biology, cellular systems, and related areas of computational biology.

Special Instructions
Please submit the following items in PDF format no later than 11:59pm EST Monday, June 8, 2026:
  • CV
  • A research statement of no more than 2 pages describing your experience using modern AI/ML for protein structure, cellular state, or related biological modeling problems. Please be specific about your individual contributions.
  • References - 2-3 required
    • Please give the emails of up to 3 individuals who can describe your previous related work.
    • Referees will be contacted to submit the letters directly to the Kempner Institute.
    • The application will not be considered complete until all letters have been received.

Candidates selected for further consideration will be asked to submit a short video presentation reviewing their past work; additional details will be provided at that stage. Following review of the videos, a subset of candidates will be invited to interview with members of the selection committee via Zoom.
Applications received after the deadline will be reviewed on a rolling basis if positions remain available.
We anticipate a start date of October 15, 2026.
Contact Information
Molly Marshall
Contact Email
KempnerInstitute@Harvard.edu
Salary Range
Expected salary is $100,000, subject to compliance with the applicable salary requirements for the appointment. This is a benefits eligible position.
Minimum Number of References Required
2
Maximum Number of References Allowed
3
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