PERMANENT

FULL_TIME

HOUR

Join a cutting-edge and innovative Quantitative Biosciences department focused on advancing drug discovery through computational science, high-throughput experimentation, and multidisciplinary collaboration. This role is ideal for candidates who are intellectually curious and interested in the intersection of machine learning, computational science, and drug discovery, with opportunities for growth in a highly collaborative research environment.

<h2>Data Scientist – Contractor (Quantitative Biosciences)</h2>Location: Rahway, NJ (Hybrid: 3 days onsite, 2 days remote)<h3>Overview</h3>Join a cutting-edge and innovative Quantitative Biosciences department focused on advancing drug discovery through computational science, high-throughput experimentation, and multidisciplinary collaboration.We apply robust scientific methodologies, translational models, and advanced automation to better understand biological systems and molecular mechanisms, enabling the development of next-generation medicines.This role offers the opportunity to work on complex, high-dimensional biological data across multiple modalities, directly supporting biologists and chemists in early-stage drug discovery.<hr/><h3>Qualifications</h3><ul><li>Minimum Education: Bachelor’s degree in Computational Physics, Chemistry, Bioinformatics, Computer Science, or another relevant quantitative field.</li><li>Advanced Degrees (acceptable): Master’s or PhD in Computational Physics, Chemistry, Bioinformatics, Computer Science, or related disciplines.</li><li>Experience: 0–3 years of relevant experience.</li></ul><hr/><h3>Required Skills</h3><ul><li>Proficiency in Python for scientific computing (e.g., NumPy, PyTorch, SciPy, pandas).</li><li>Experience with high-performance computing (HPC) in Unix/Linux environments or cloud platforms (e.g., AWS).</li><li>Hands-on experience in data science and machine learning.</li><li>Working knowledge of biochemistry and/or chemistry.</li></ul><hr/><h3>Nice to Have</h3><ul><li>Experience in pharmaceutical early drug discovery research.</li><li>Exposure to advanced machine learning applications, especially in drug discovery contexts.</li><li>Experience developing large-scale chemical foundation models, virtual screening models, or protein structure prediction models.</li></ul><hr/><h3>Responsibilities</h3>As a Data Scientist within the Quantitative Biosciences team, you will:<ul><li>Develop machine learning and deep learning workflows to support novel drug discovery.</li><li>Build and improve property prediction models for small molecules and peptides.</li><li>Collaborate with interdisciplinary teams to apply computational and statistical methods for drug target identification and lead optimization.</li><li>Analyze complex, high-throughput experimental datasets across multiple biological modalities.</li><li>Conduct research in machine learning, molecular modeling, and computational biology.</li><li>Communicate insights and analytical results clearly to scientific stakeholders, both verbally and in writing.</li><li>Support experimental design by providing data-driven interpretation and guidance.</li></ul><hr/><h3>Role Summary</h3>This role is ideal for candidates who are intellectually curious and interested in the intersection of machine learning, computational science, and drug discovery, with opportunities for growth in a highly collaborative research environment.

Talent Software Services

Data Scientist - I (Assistant)

Amazon Web Services (AWS)

Analysis Skills

Automation

Biochemistry

Bioinformatics

Biology

Biotech and Pharmaceutical

Chemistry

Cloud Computing

Computational Chemistry

Computational Physics

Computer Science

Data Science

Data Sets

Deep Learning

Drug Discovery

Experiment Design

High Throughput

Linux Operating System

Machine Learning

Medical Products

Predictive Modeling

Python Programming/Scripting Language

Research Skills

Small Molecules

Team Player

Unix Operating Systems

monster

UNKNOWN

FEED

As we build out semi-automated and agentic tools (e.g., multi-agent LLM systems for portfolio oversight and target assessment), your deep real-world biology experience will guide the development of these tools, ensuring they are grounded in biological reality and translate to meaningful portfolio and patient impact. You will have access to all of Recursions data layers-including massive internal maps, functional genomics, and rich patient data (transcriptomics, genetics, and Real-World Data/EHR)-and will be tasked with proposing, piloting, and deploying new methods to integrate these datasets.

YEAR

Your work will change lives. Including your own.The Impact You'll MakeAs a computational biology specialist on our Target ID team, you will be at the forefront of transitioning Recursion to its next era of drug discovery. You will serve as a critical biological anchor for a highly technical data science team building the next generation of our target discovery pipelines.The team's mission is to identify novel therapeutic targets at scale across the genome for hundreds of indications. You will have access to all of Recursions data layers-including massive internal maps, functional genomics, and rich patient data (transcriptomics, genetics, and Real-World Data/EHR)-and will be tasked with proposing, piloting, and deploying new methods to integrate these datasets.Crucially, you will leverage your biological subject matter expertise to orient and focus your data scientist and software engineer peers towards reliable and correct usage of biological data and feasible candidate programs. As we build out semi-automated and agentic tools (e.g., multi-agent LLM systems for portfolio oversight and target assessment), your deep real-world biology experience will guide the development of these tools, ensuring they are grounded in biological reality and translate to meaningful portfolio and patient impact.The ideal candidate is a computational biology specialist with high fluency in data science tech stacks. You know how to build and evaluate predictive models and build agentic pipelines, and your differentiator is your deep understanding of patient-relevant datasets, disease biology, and target discovery.In this role, you will:Discover & Evaluate: Propose and validate novel targets using deep integration of patient data (transcriptomics, population genetics, EHR, etc) and Recursions internal multi-omic data layers.Guide & Automate: Collaborate closely with data scientists to build, refine, and guide semi-automated and agentic target discovery tools. You will ensure these tools are biologically sound and can scale to evaluate hypotheses across many indications spanning a wide range of therapeutic areas.Triangulate: Use advanced statistical methods (e.g., causal inference, survival modeling) to establish confident target-to-patient connections and define specific addressable patient populations for early pipeline programs.Bridge the Gap: Translate complex platform findings into disease-relevant applications, bridging the gap between high-dimensional data science output and actionable drug discovery insights.Present & Influence: Communicate complex biological rationale and data analyses to decision-makers and cross-functional stakeholders, driving data-backed go/no-go decisions in a two-stage target approval process.The Team You'll JoinOur group is a bold, agile, diverse collective of data scientists and computational biologists driving Recursion's early portfolio strategy. We are focused on aggressively expanding our early-stage pipeline with highly validated, novel therapeutic targets. To achieve this, we prioritize defining specific patient populations and establishing clear, data-backed translational paths from day one of every new program.Because this team is dominated by experts in traditional data science, AI/ML, and software engineering, your role is absolutely critical. You will provide the essential biological experience and subject matter expertise to improve and accelerate the work of your peers. Essential attributes for this role include a bold, execution-first attitude, high technical fluency to collaborate seamlessly on data-science-heavy codebases, and a passion for deploying rigorous science to develop life-changing medicines.The Experience You'll NeedPhD in Computational Biology, Bioinformatics, Human Genetics, Systems Biology, or a closely related field with 3+ years of experience in the biotech or pharma industry OR MS in a relevant field and 5+ years of industry experience focusing on target ID or early drug discovery.Biological SME: Deep, real-world experience in target discovery, functional genomics, and understanding the druggability of disease-relevant pathways.Data Science Fluency: Highly proficient in Python and/or R, with a strong ability to seamlessly integrate into a data-science-heavy tech stack. Comfortable with modern software engineering practices, cloud computing, and machine learning concepts.Patient Data Expertise: Extensive experience working with discovery-related human data, particularly transcriptomics (bulk/single-cell), patient genetics/GWAS, and clinical/real-world data (e.g., EHR).Analytical Rigor: Experience applying advanced computational and statistical methods to establish biological causality (e.g., survival analysis, causal inference modeling).Excellent cross-functional communication skills, with a proven track record of upskilling peers in biological concepts and guiding technical teams toward translatable biological outcomes.Nice To Have:Experience working with, prompting, or integrating Large Language Models (LLMs) and autonomous agentic workflows into scientific research.Familiarity with building or utilizing Knowledge Graphs for target identification.Experience working in the field of oncology or immunology.Working Location & Compensation:This is an office-based, hybrid position at our US headquarters located in Salt Lake City, Utah. 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 skill and level of experience required for this role, the estimated current annual base range for this role is $151,800 to $230,000. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.#LI-EP1The 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 RecursionRecursion (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.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.

Recursion Pharmaceuticals Inc

Senior Computational Biologist - Target ID

Artificial Intelligence (AI)

Candidate Sourcing

Communication Skills

Cross-Functional

Data Analysis

Disease

Drug Development

Establish Priorities

Genetics

Genomics

Hubs

Immunology

Laboratory

Leadership

LinkedIn

Medical Record System

Modeling Languages

Multilingual

Neuroscience

Oncology

Operating Systems

R Programming Language

Recruiting/Staffing Agency

Risk Analysis

Scientific Research

Software Engineering

Team Building

User Documentation

Working fluency with UniProt or adjacent workflows: SAR support, HTS, target validation, biochemical profiling, or IND-enabling studies. Hands-on binding or functional assay experience (SPR, TR-FRET, radioligand binding, kinase assays, GPCR functional assays, IC50/Ki/KD).

About the jobMercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.Position: Biology Research Scientist (BA, MS, PhD's) Type:Contract Compensation:$50–$70/hour Location:Remote Duration:1–2 month minimum, extension likely Commitment:10–20 hours/weekRole Responsibilities<ul><li>Access primary sources such as papers and patents to verify protein target assignments against UniProt records.</li><li>Flag and classify target assignment errors using a structured taxonomy to ensure data accuracy.</li><li>Propose correct UniProt accessions where assignments are incorrect to enhance database reliability.</li><li>Write concise, evidence-grounded notes explaining your reasoning to support AI drug discovery pipelines.</li><li>Work independently and asynchronously to meet deadlines and improve data integrity.</li></ul>QualificationsMust-Have<ul><li>BA/BS with 5+ years, MS with 2+ years, or PhD with industry or drug discovery research experience in pharmacology, biochemistry, molecular biology, or chemical biology.</li><li>Hands-on binding or functional assay experience (SPR, TR-FRET, radioligand binding, kinase assays, GPCR functional assays, IC50/Ki/KD).</li><li>Currently bench-active in a research, scientist, or associate scientist role.</li><li>Working fluency with UniProt or adjacent workflows: SAR support, HTS, target validation, biochemical profiling, or IND-enabling studies.</li></ul>Preferred<ul><li>Direct experience with ChEMBL, BindingDB, or PubChem.</li><li>Selectivity profiling or counterscreening experience.</li><li>Familiarity with agonist/antagonist vs. activator/inhibitor distinctions.</li></ul>Start Date<ul><li>Immediate start</li></ul>Application Process (Takes 20–30 mins to complete)<ul><li>Upload resume</li><li>AI interview based on your resume</li><li>Submit form</li></ul>Resources & Support<ul><li>For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome</li><li>For any help or support, reach out to: support@mercor.com</li></ul>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Biologist Jobs in Cooper, NY

Resume Resources

Get noticed by top employers!

Biologist Jobs in Cooper, NY

Data Scientist - I (Assistant) Talent Software Services

Senior Computational Biologist - Target ID Recursion Pharmaceuticals Inc

Molecular Biologist - Fully Remote Mercor

Resume Resources