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

YEAR

Your focus will be on the design, acquisition, curation, and in-depth analysis of complex scientific datasets primarily biological and chemical to accelerate discovery pipelines through data insights and predictive modeling. Collaborate with machine learning teams on drug discovery, data curation, and large-scale biological and chemical dataset analysis.

Refer a friend: <a href="https://careerdevelopers.com/referral-program" rel="nofollow"> Referral fee program</a><div> Career Developers Inc., a distinguished staffing and consulting firm, is proud to celebrate 30 years of service excellence. As a GSA Contract holder, we offer comprehensive staffing solutions for both commercial and government sectors nationwide. By selectively partnering with clients who share our values, we ensure productive collaborations that set us apart in the industry. Our dedication to candidates involves managing expectations with precision through business intelligence, thorough interview preparation, transparent communication, and exceptional feedback throughout the process. We are committed to advancing your career and look forward to supporting your professional growth. ----------------------------------------------------------------------------------------------------------------------------------------------- Data Science Expert | Scientific R&D | PhD-Level NYC | Hybrid, 3 days a week on site Salary: OPEN Highly paid salary for Outliers in this field Full relocation & immigration support available for qualified candidates We're seeking an advanced technical contributor with a Ph.D. and a strong foundation in life sciences to join a high-caliber, interdisciplinary R&D team working at the forefront of computational drug discovery. Role Summary: In this position, you'll collaborate directly with a world-class machine learning and scientific computing group to drive a data-first strategy in therapeutic innovation. Your focus will be on the design, acquisition, curation, and in-depth analysis of complex scientific datasets primarily biological and chemical to accelerate discovery pipelines through data insights and predictive modeling. Ideal Background:<ul><li> Ph.D. in medicinal chemistry, pharmacology, computational biology, or a related discipline</li><li> Proven wet lab experience with a solid grasp of assay development and experimental design</li><li> Strong understanding of drug discovery workflows, including early-stage R&D</li><li> Comfortable working in Unix/Linux environments; scripting proficiency in Python or similar languages</li><li> Industry experience in pharma/biotech is a strong advantage</li></ul> What You'll Work On:<ul><li> Curate and optimize structured/unstructured datasets for use in AI/ML pipelines</li><li> Collaborate with ML engineers and domain scientists to align data assets with predictive models</li><li> Implement scalable data solutions to support large-scale simulations and molecular modeling efforts</li><li> Contribute scientific insight to inform data-driven decision-making in therapeutic development</li></ul> Tech-forward Environment Includes:<ul><li> High-performance computing systems tailored for molecular dynamics and large-scale simulation</li><li> Application of machine learning and computational chemistry techniques in real-world R&D</li><li> Collaborative ecosystem that blends deep science with cutting-edge engineering</li></ul> Ready to contribute your expertise where science meets data at scale? This is an opportunity to work on some of the most complex and high-impact challenges in computational drug design. Ph.D.-level Data Scientist or Computational Biologist sought for a hybrid NYC-based role in scientific R&D. Collaborate with machine learning teams on drug discovery, data curation, and large-scale biological and chemical dataset analysis. Ideal candidates have pharma or biotech experience, Python skills, and expertise in assays or molecular modeling. Work in a high-performance computing environment on cutting-edge therapeutic development projects. Competitive compensation ($200K $240K) with relocation, bonuses, and immigration support. Join a leading scientific innovation team. </div>

Career Developers

Data Science Expert | Scientific R&D | PhD-Level

Analytical Chemistry

Artificial Intelligence (AI)

Assay Development

Business Intelligence

Computer Systems

Consulting

Drug Design

Ecosystems

Government

Laboratory

Pharmacology

Research & Development (R&D)

Scripting (Scripting Languages)

Simulation

Training Data Sets

jobdiva

ADAPTED_NOW

In this role, you will: + Develop advanced AI and machine learning models, including transformer architectures and graph neural networks, to represent molecular features and predict immunogenicity of pneumococcal conjugate vaccines using preclinical and clinical data. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act.

Use Your Power for Purpose At Pfizer, our purpose is to deliver breakthroughs that transform patients' lives. Central to this mission is our Research and Development team, which strives to convert advanced science and cutting-edge technologies into impactful therapies and vaccines. Whether you are engaged in discovery sciences, ensuring drug safety and efficacy, or supporting clinical trials, your role is crucial. You will leverage innovative design and process development capabilities to expedite the delivery of top-tier medicines to patients globally. What You Will Achieve In this role, you will: + Develop advanced AI and machine learning models, including transformer architectures and graph neural networks, to represent molecular features and predict immunogenicity of pneumococcal conjugate vaccines using preclinical and clinical data. + Apply transfer learning to translate predictive models from preclinical to clinical domains and utilize interpretation frameworks (such as SHAP) to identify key molecular motifs for rational vaccine design. + Conduct meta-analyses of large-scale immunogenicity datasets to characterize quantitative relationships between vaccine physical parameters and immunogenicity outcomes. + Harmonize and curate preclinical and clinical datasets to support robust statistical and machine learning analyses. + Engage in active collaboration with multidisciplinary teams, encompassing experts in data science, preclinical analysis, and clinical vaccine research, to advance pneumococcal conjugate vaccines development. + Publish impactful scientific findings while safeguarding confidential data, ensuring clear, transparent reporting of methods and results to facilitate reproducibility and recognition in peer-reviewed journals and conferences. Here is What You Need (Minimum Requirements) + Ph.D. in Computational Biology, Bioinformatics, Computer Science, Immunology, or a related field. Publication + Successful record of scientific accomplishments evidenced by scientific publications and/or presentations with at least one first-author publication in a peer-reviewed journal. + No more than 2 years of post-degree experience. + Willingness to make a minimum 2-year commitment. + Demonstrated expertise in machine learning and deep learning, with hands-on experience in developing and validating predictive models for biological or biomedical data. + Proficiency in Python and relevant AI Machine Learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Experience with statistical modeling, including regression analysis and mixed-effects models. + Solid understanding of immunology, especially vaccine immunogenicity and conjugate vaccine design. + Strong data management and curation skills, including harmonization of heterogeneous biological datasets. + Excellent scientific communication skills, with a track record of peer-reviewed publications or presentations. Ability to work across computational and wet-lab teams, distill complex results for diverse stakeholders. Bonus Points If You Have (Preferred Requirements) + Prior experience applying graph neural networks, transformer models, or cross-attention mechanisms to biological sequence or molecular structure data. + Familiarity with glycan-focused modeling and representation, including encoding of polysaccharide and protein carrier features. + Experience in translational research bridging preclinical and clinical datasets, especially in vaccine development. + Knowledge of SHAP or similar model interpretation frameworks for feature attribution in complex models. + Hands-on experience with ensemble modeling and transfer learning in biomedical contexts. + Collaborative experience with experimental biologists and vaccine R&D teams. + Familiarity with regulatory and translational aspects of vaccine development. Additional Information Relocation support available Work Location Assignment: Hybrid Last day to apply: Sunday January 18th, 2026 The annual base salary for this position ranges from $62,700.00 to $104,500.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 7.5% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Research and Development

A career at Pfizer offers opportunity, ownership and impact. All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives.

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Data Scientist - I (Assistant) Talent Software Services

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Postdoctoral Fellow in AI/ML Applications for Vaccine Research & Development Pfizer

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