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Computational Biochemistry Jobs (NOW HIRING)

S. plus 10 years of experience in biochemistry, biophysics, computational biology, structural biology, or a closely related field * Deep expertise in computational protein engineering, including AI ...

Computational Protein Designer

San Francisco, CA · On-site

$24.25 - $29.50/hr

Using your blend of computational expertise and in-depth biochemical understanding of proteins, you will generate insights to improve protein functionality and operate at the interface between our ...

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Computational Biochemistry information

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How much do computational biochemistry jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for computational biochemistry in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Computational Biochemistry position, and why are they important?

To excel in Computational Biochemistry, you need a solid background in biochemistry, molecular biology, and computer science, often supported by a relevant advanced degree such as a Master's or PhD. Familiarity with molecular modeling software, statistical analysis tools, programming languages (such as Python, R, or C++), and experience with high-performance computing systems are typically required. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities are highly valued. These skills are crucial for successfully analyzing complex biological data, developing predictive models, and collaborating on multidisciplinary research projects.

What biology jobs pay over $100k?

In computational biochemistry, roles such as senior bioinformatics scientist, research director, or lead computational biologist often have salaries exceeding $100,000 annually. These positions typically require advanced degrees, extensive experience, and proficiency with tools like Python, R, or molecular modeling software.

What are the main day-to-day responsibilities of a Computational Biochemist?

As a Computational Biochemist, your daily tasks often include developing and running molecular simulations, analyzing biochemical data sets, and collaborating with laboratory researchers to design experiments. You may spend a significant portion of your time coding, troubleshooting computational models, and interpreting complex results to guide research decisions. Regular meetings with cross-functional teams are common, ensuring that computational findings are integrated into ongoing projects. This blend of independent technical work and collaborative efforts supports the advancement of scientific discovery and drug development.

What is a Computational Biochemistry job?

A Computational Biochemistry job involves using computer models, simulations, and data analysis to study biological molecules and processes. Professionals in this field apply computational techniques to understand protein structures, enzyme functions, drug interactions, and biomolecular dynamics. They often work in pharmaceutical research, biotechnology, or academia to accelerate drug discovery and understand disease mechanisms. Strong skills in programming, molecular modeling, and statistical analysis are essential for success in this role.

What is the highest paying job in biochemistry?

In biochemistry, high-paying roles include senior research scientists, biochemistry directors, and pharmaceutical executives, often earning six-figure salaries. These positions typically require advanced degrees, extensive experience, and leadership skills, with salaries influenced by industry, location, and company size.

What does a computational biochemist do?

A computational biochemist uses computer models and simulations to study biological molecules and processes, such as protein structures and interactions. They often work with software tools, programming languages, and biological data to understand and predict biochemical behavior, supporting research and drug development.

Is computational chemistry in demand?

Computational biochemistry is in demand due to its role in drug discovery, molecular modeling, and understanding biological processes. Professionals with skills in programming, molecular dynamics, and data analysis are sought after in pharmaceutical, biotech, and research institutions, often requiring knowledge of tools like Python, R, and specialized simulation software.
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What cities are hiring for Computational Biochemistry jobs? Cities with the most Computational Biochemistry job openings:
What are the most commonly searched types of Computational Biochemistry jobs? The most popular types of Computational Biochemistry jobs are:
What states have the most Computational Biochemistry jobs? States with the most job openings for Computational Biochemistry jobs include:
Infographic showing various Computational Biochemistry job openings in the United States as of July 2026, with employment types broken down into 57% Full Time, 40% Part Time, 1% Temporary, and 2% Contract. Highlights an 62% Physical, 1% Hybrid, and 37% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.
Advisor of Computational Peptide Biochemistry

Advisor of Computational Peptide Biochemistry

Eli Lilly and Company

Pasadena, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Eli Lilly and Company rating

8.8

Company rating: 8.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical


Job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work-but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.
Organization Overview:
At Lilly, we serve an extraordinary purpose. For 150 years, we have worked tirelessly to discover medicines that make life better. These discoveries start in Lilly Research Laboratories, where our scientists work to create new medicines that will help solve our world's greatest health challenges.
Protomer team at Lilly focuses on chemical biology, molecular switches and oral macrocyclic peptide platforms. This position is for a senior computational biologist-biochemist with extensive background and knowledge in the field.
We are seeking an Advisor/Senior Advisor in Computational Peptide Chemistry to drive peptide discovery programs by providing computational modelling support for the team, and building computational and AI/ML-based infrastructure at Protomer Team in Eli Lilly. Modeling and computational support will be for multiple projects including support for oral macrocycle efforts.
The successful candidate will work closely with peptide discovery team, structural biologists, assay biologists and medicinal chemists to guide peptide structure-activity relationship studies from hit identification to lead optimization. The ideal candidate will combine deep technical computational expertise with practical peptide discovery and medicinal chemistry knowledge provided by other members of peptide discovery team to accelerate lead time of peptide discovery programs. Ideal candidate is a creative computational scientist for the integration of the latest computational and AI/ML-based approaches into the automated and high-throughput peptide drug discovery workflows.
The ideal candidate is a significant contributor and leading a highly integrated, agile, and collaborative team effort and expected to manage the scientific portfolio, the business supporting the portfolio, and mentoring of junior scientists within the oral macrocycles group at Protomer. Ideal candidate is expected to have demonstrated success in similar roles with proven track record of leading both scientific rationale, planning and execution leading to success in making medicines.
This individual will also be expected to be able to independently lead projects, help shape the team and strategy of the group, contribute significantly to prioritization of the team objectives and interact with and create and nurture the cross-functional relationships interacting with various therapeutic areas such diabetes and obesity, neuroscience, immunology and oncology.
Responsibilities:
  • Contribute as the lead biochemist and assay biologist for the team on macrocyclic discovery, contributing both insight and developing strategy for assays for various efforts in the group
  • Work on (both directionally and operationally) molecule testing efforts from lead identification to lead optimization and contribute along the way to phase 1b and beyond
  • Provide assay development expertise, and support for macrocyclic peptide discovery projects
  • Provide biological insight based on detailed biology of various targets to better focus molecule discovering efforts that are informed based on the biology of the targets
  • Develop methodologies, protocols and run SPR and other protein binding assays for characterization of compounds
  • Characterize complete functionality of protein reagents, provide both insight and oversight into quality and tracking of protein reagents, be able to independently lead a small team of biochemists and biologists to support a large molecule discovery group with various targets and assets at different stages of discovery
  • Learn about and enhance the platform technology efforts at Protomer to accelerate assays and biochemical workflows including automation
  • Work collaboratively in the group to achieve a common goal but also provide independent perspective and scientific rationale and contribute to strategy and execution.
  • Take on dedicated efforts towards targets of high conviction and utilize speed and prioritization to advance assay efforts both at Protomer and wider Lilly groups and through collaboration with the rest of research organization
  • Inspire people to collaborate in inventing great medicines by removing barriers, committing to high quality scientific hypotheses, and accelerating where possible.
  • Keep safety as a top priority at all times, striving toward a proactive safety culture.
  • Be a good team player and work effectively, responsibly and professionally with colleagues at Protomer and across Lilly.

Minimum Qualifications:
  • PhD in computational chemistry, medicinal chemistry, computational biology, machine learning, cheminformatics, biophysics, or closely related discipline
  • 0-3 years of drug discovery experience with demonstrated track record of computational impact on peptide discovery programs in academia, biotech, or pharma
  • Strong track record in AI/ML, computational tools and molecular designs for linear and cyclic peptides and proactively apply new approaches to develop peptide drug design tools

Preferred Qualifications:
  • Experience integrating generative AI and/or LLM, structure-based design, free energy perturbation to peptide SAR studies from hit identification to lead optimization in peptide drug discovery programs
  • Proficiency across computational tools in molecular docking, molecular dynamics simulation, FEP/free-energy methods, QSAR/ADMET modelling
  • Experience with virtual screening campaigns, structure-based peptide drug design and ability to interpret crystallography or cryo-EM data into implement in the drug design tools computational design strategies
  • Strong programming, preferably Python, with experience using cheminformatics toolkits such as RDKit and modern data science workflows
  • Familiar with cloud-based or high-performance computing environments
  • Familiar with peptide screening technologies (mRNA display, one-bead-one-compound libraries, yeast display, phage display, etc) to accelerate design-make-test-analyse cycle of peptide discovery programs
  • Familiar with peptide medicinal chemistry principles, physicochemical property optimization of peptide as modalities, oral macrocyclic peptide properties, ADME/PK concepts
  • Partner closely with peptide discovery scientists, peptide chemists and medicinal chemists to translate computational data into hit identification/lead optimization strategies

Additional Information:
  • Some domestic and international travel is anticipated and expected.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women's Initiative for Leading at Lilly (WILL).
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$166,500 - $266,200
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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About Eli Lilly

Sourced by ZipRecruiter

Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876