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Drug Discovery Intern Computational Jobs (NOW HIRING)

$120 - $180/hr

... drug pipeline that holds the potential to transform human health. The opportunity: Odyssey Therapeutics is seeking a Computational Biologist to support target discovery, translational biology ...

$180 - $240/hr

COMPUTATIONAL DRUG DEVELOPMENT SCIENTIST Lantern Pharma is seeking a highly accomplished Oncology ... You will drive strategic direction for AI-enabled oncology drug discovery and have the opportunity ...

Given the expanding scope of the Drug Discovery Chemistry group's operations, the successful ... S/he will be a champion of promoting computational sciences as an integral part of Hit Finding ...

Computation is revolutionizing drug discovery. Advances in big chemical data, massive computing ... Own computational chemistry programs across therapeutic modalities, disease targets, and ...

Showing results 41-60

Drug Discovery Intern Computational information

What is a drug discovery intern computational?

A Drug Discovery Intern in Computational Sciences applies computer-based techniques to support drug discovery efforts. This role involves using molecular modeling, machine learning, and bioinformatics to analyze chemical and biological data. Interns may assist in virtual screening, structure-based drug design, and simulations to identify potential drug candidates. They collaborate with scientists to refine computational models and improve drug development processes. Strong programming, data analysis, and scientific problem-solving skills are essential for success in this role.

What kind of projects does a drug discovery intern computational typically work on, and how do they contribute to larger research efforts?

As a Drug Discovery Intern Computational, you can expect to work on projects such as analyzing chemical compound databases, running molecular docking simulations, or processing large biological datasets to identify promising drug candidates. You'll often collaborate with other scientists, including medicinal chemists and biologists, to interpret your computational results and refine hypotheses. Your contributions are integral to accelerating early drug development, as they help narrow down potential leads much faster than traditional laboratory methods. This role offers a hands-on introduction to both scientific research and teamwork within the collaborative environment of a drug discovery team.

What are the key skills and qualifications needed to thrive as a drug discovery intern computational, and why are they important?

To excel as a Drug Discovery Intern Computational, you need a background in biology, chemistry, or a related field, along with strong computational and analytical skills. Familiarity with programming languages like Python or R, molecular modelling software, and data analysis tools is highly beneficial. Excellent problem-solving abilities, attention to detail, and the capacity to work collaboratively are valuable soft skills in this area. These skills enable interns to effectively analyze complex biological data, contribute to ongoing projects, and support innovative drug discovery processes.

More about Drug Discovery Intern Computational jobs

What cities are hiring for Drug Discovery Intern Computational jobs?

Cities with the most Drug Discovery Intern Computational job openings:

What states have the most Drug Discovery Intern Computational jobs?

States with the most job openings for Drug Discovery Intern Computational jobs include:

Infographic showing various Drug Discovery Intern Computational job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Computational Biologist - Early Discovery Oncology New York, New York; Salt Lake City, Utah

Recursion

Manhattan, NY • On-site

$151.80 - $220.66/hr

Other

Posted 4 days ago


Key responsibilities

  • Evaluate molecular evidence for target nomination and validation using Recursion's platform to identify vulnerabilities in precision oncology disease biology

  • Pilot novel methods for target discovery, validation, and early patient population hypotheses to advance programs into nomination cascades

  • Partner with cross-functional teams to build data packages that support program milestones and communicate analysis results to decision makers


Job description

Senior Computational Biologist - Early Discovery Oncology

New York, New York; Salt Lake City, Utah

Your work will change lives. Including your own.

As a computational biologist within Recursion’s early discovery team, you will be at the forefront of reimagining drug discovery from first principles. Your mission is to integrate Recursion’s massive datasets—phenomics, transcriptomics, genomics, proteomics to nominate novel targets, validate disease biology, and define the precision oncology strategies to advance our most promising therapeutic targets into full‑fledged drug discovery programs.

This is a highly collaborative role: you will partner with biologists, chemists, data scientists, platform and data engineers, and translational experts to develop and scale methods for target discovery and validation. You will also partner with computational scientists from across the organization to develop novel approaches to agentic target packages, early translational de‑risking, and mechanism of action identification. The ideal candidate has strong stakeholder management, technical communication skills, and 3+ years biotech or pharma experience in early drug discovery.

We are hiring for two roles on a new target ID team, one domain expert in immunology and inflammatory diseases and one in precision oncology (this role).

In this role, you will:
  • Drive Target Discovery: Evaluate the molecular evidence for target nomination and validation, leveraging Recursion’s platform to identify novel vulnerabilities in precision oncology disease biology
  • Pilot novel methods for target discovery, validation, and early patient population hypotheses to send programs into nomination cascades
  • Define internal criteria for target data packages and early patient population strategy
  • Connect your innovative analysis methods to platform and engineering teams so that we solve the current project and accelerate future ones
  • Collaborate cross‑functionally: Partner with biologists, medicinal chemists, translational, and portfolio leads to build compelling data packages that drive program milestones and internal investment decisions.
  • Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients.
The Team You’ll Join

Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. Our expertise spans precision oncology, I&I (immunology and inflammation), and neuroscience and we focus on advancing novel, targeted therapies in these disease areas. We partner closely with other functions to design and execute impactful and decisional data analyses for new targets and drug programs and are responsible for data strategy across the portfolio. We prioritize career development, fluency at the intersection of biology and technology, and a strong network of technical feedback and support.

The Experience You’ll Need
  • PhD in a relevant field (computational biology, bioinformatics, systems biology, cancer biology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry OR MS in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in early drug discovery
  • Domain expertise in precision oncology and target ID
  • Strong understanding of patient genetics and druggability of disease relevant pathways
  • Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate complex biological and/or human clinical data in a high level programming language such as Python or R
  • Exceptional data visualization skills
  • Excellent cross‑functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations
Nice To Have:
  • Experience building a target discovery engine using public and proprietary datasets
  • Experience designing high‑throughput screens with CRISPR or small molecule perturbations to validate therapeutic hypotheses
  • Previous exposure to efficient drug program advancement from proof of concept to IND
Working Location & Compensation:

This is an office‑based, hybrid role in our Salt Lake City, UT or New York, NY offices. Employees are expected to work in the office at least 50 % of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is:

  • New York City: $166,980 to $220,660
  • Salt Lake City: $151,800 to $200,600

In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package.

The Values We Hope You Share:
  • We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust.
  • We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action.
  • We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection.
  • We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day.
  • We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together.
  • We are One Recursion. True cross‑functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities.

Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively.

More About Recursion

Recursion (NASDAQ: RXRX) is a clinical‑stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI‑native, end‑to‑end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose‑built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter—faster, better, and at scale—for patients who are waiting.

Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com, or connect on X and LinkedIn.

Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation.

Accommodations are available on request for candidates taking part in all aspects of the selection process.

Equal Opportunity Employment Information (Recursion)

We are committed to a high‑performing workplace where everyone feels like they belong and can do the best work of their careers. We reward merit and contribution as we strive for a workplace that reflects the communities in which we operate and the patients we intend to serve. To this end, we invite you to self‑identify your race/ethnicity and gender. This information will be kept confidential and will not be used to favor or discriminate against any candidate. It will not be shared with the hiring managers or otherwise considered as part of your application. Submission of this information is voluntary and refusal to provide any or all of the information requested will not subject you to any adverse treatment.

Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
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