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As of Jun 7, 2026, the average hourly pay for cellular performance institute in the United States is $46.07, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $46.63 per hour, depending on experience, location, and employer.

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A Cellular Performance Institute job typically involves researching, analyzing, and optimizing cellular performance in various biological or technological contexts. Professionals in this field may work on improving human health, enhancing biotechnological applications, or advancing wireless communication systems. Responsibilities can include conducting experiments, developing performance metrics, and implementing solutions to improve efficiency. The specific role and focus will depend on the organization's mission and industry sector.

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Team members at the Cellular Performance Institute often have access to extensive professional development through participation in research projects, conferences, and certification courses relevant to cellular health and human performance. Individuals are encouraged to pursue advanced specializations in research, program leadership, or clinical application, with opportunities to lead new initiatives or mentor junior colleagues as their experience grows. Collaboration with leading scientists and clinicians helps staff build a strong professional network and stay updated on industry advancements. This dynamic environment supports both scientific growth and upward mobility within the organization.

What are the key skills and qualifications needed to thrive in the Cellular Performance Institute position, and why are they important?

To thrive at the Cellular Performance Institute, professionals typically need a strong background in cellular biology, exercise physiology, or sports science, often supported by advanced degrees and industry certifications. Familiarity with laboratory research tools, data analysis software, and diagnostic testing systems is crucial. Exceptional interpersonal skills, attention to detail, and collaborative abilities set candidates apart in this environment. These competencies are essential for advancing research, delivering cutting-edge health performance programs, and working effectively within multidisciplinary teams.

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Infographic showing various Cellular Performance Institute job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $95,817 per year, or $46.1 per hour.
Fellow in AI/ML for Cellular and Protein Computational Biology

Fellow in AI/ML for Cellular and Protein Computational Biology

Harvard University

Cambridge, MA • On-site

Full-time

Posted 15 days ago

Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

131st of 534 rated colleges and universities

Job description

Position
Details
Title
Fellow in AI/ML for Cellular and Protein Computational Biology
School
Faculty of Arts and Sciences
Department/Area
Kempner Institute for the Study of Natural and Artificial Intelligence
Position Description
The Kempner Institute at Harvard University seeks early-career researchers to help shape the future of AI as Kempner AI Fellows. We are looking for candidates with strong foundations in modern AI/ML and the ambition 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 research accomplishment, 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

AI Fellows will work closely with one another and 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.
Appointment Terms
  • Fellows will conduct research under the direction of a Kempner Institute investigator.
  • Fellows are appointed for a one-year term; reappointment may be possible for up to three consecutive years.
  • Due to the importance of in-person mentoring, this position is based on campus, full-time, at Harvard University. Remote work for this position is not possible.

Basic Qualifications
  • Bachelor's or master's degree in computer science, statistics, electrical engineering, applied mathematics, computational biology, bioengineering, biophysics, or a related quantitative field required by the expected start date.
  • Strong technical background in modern AI/ML, including deep learning and hands-on experience with frameworks such as PyTorch or JAX
  • Demonstrated research productivity, including publications in venues such as ICML, ICLR, NeurIPS, RECOMB, ISMB, or similar, 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
  • 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 1, 2026:
  1. CV.
  2. 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.
  3. References - 1-2 required
    • Please give the emails of up to 2 individuals who can describe your work and your potential for future discoveries.
    • 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.
  4. Transcripts (Undergraduate and/or Master's)

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 September 15, 2026.
Contact Information
Molly Marshall
Contact Email
Kempnerinstitute@harvard.edu
Salary Range
Expected annual salary is $54,600 for candidates holding a bachelor's degree and $60,060 for candidates holding a master's degree. Salary will be commensurate with qualifications and experience.
Minimum Number of References Required
1
Maximum Number of References Allowed
2
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