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

To accelerate scientific discovery focused on understanding cancer, innovating cancer treatment, and improving cancer prevention; to provide outstanding, novel, and compassionate patient care; to provide evidence-based and culturally informed education to physicians, nurses, researchers, staff, and the community; and to achieve cancer health equity in our state through outreach to and engagement of our extraordinarily diverse communities. Experience and peer-reviewed publications in which the incumbent has performed the tasks listed below are strongly preferred: Spatial transcriptomics: Analysis and integration of spatially resolved gene expression data to characterize tissue architecture, cell-cell interactions, and microenvironmental heterogeneity.

YEAR

Position DetailsPosition InformationRecruitment/Posting Title Bioinformatics - Assistant to Associate Professor, Non-Tenure Research Track Department Cancer Institute of New Jersey Salary Details A minimum salary of $114,622 Offer InformationThe final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.BenefitsRutgers offers a comprehensive benefits package to eligible employees, based on position, which includes:<ul><li>Medical, prescription drug, and dental coverage</li><li>Paid vacation, holidays, and various leave programs</li><li>Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options</li><li>Employee and dependent educational benefits</li><li>Life insurance coverage</li><li>Employee discounts programs</li></ul>For detailed information on benefits and eligibility, please visit: <a href="http://uhr.rutgers.edu/benefits/benefits-overview" rel="nofollow">http://uhr.rutgers.edu/benefits/benefits-overview</a>.Posting SummaryRutgers Cancer Institute and Robert Wood Johnson Medical School seek applications for a non-tenure research track faculty in the field of bioinformatics at the Assistant or Associate Professor-level. The successful candidate will be a critical part of multidisciplinary team science for the innovative basic science, translational, clinical and population research at Rutgers Cancer Institute. They will provide state-of-the-art bioinformatics support to all Rutgers Cancer Institute research programs.The academic appointment will be in the Rutgers Robert Wood Johnson Medical School, Department of Pathology and Laboratory Medicine, Division of Medical Informatics, which is the primary academic unit for faculty associated with the Biomedical Informatics Shared Resource.Academic rank will be commensurate with experience. As non-tenure research track faculty you will be expected to provide the majority of your effort (approximately 70% FTE) to supporting cancer projects led by established University Faculty and Cancer Institute members. As a service provider you are expected to bill your collaborators houly using the billing software iLab. The incumbent will be offered approximately 30% of personal research time for their own cancer bioinformatics-related research efforts. While formal teaching isn't expected from this position, the incumbent will participate in educational workshops offering training on bioinformatics analysis to postdoctoral fellows and students per the Cancer Institute's Cancer Research Training and Education practices.A PhD in bioinformatics or relevant field with a publication record showing a broad range of computational and analytical efforts is required. Experience and peer-reviewed publications in which the incumbent has performed the tasks listed below are strongly preferred:<ul><li>Spatial transcriptomics: Analysis and integration of spatially resolved gene expression data to characterize tissue architecture, cell-cell interactions, and microenvironmental heterogeneity.</li><li>Long-read sequencing: Computational processing and analysis of long-read sequencing data to resolve complex genomic and transcriptomic features, including isoforms, structural variants.</li><li>Bulk RNA sequencing: End-to-end analysis of bulk RNA-seq data, including quality control, normalization, differential expression, and pathway-level interpretation.</li><li>Single-cell RNA sequencing: Analysis of single-cell RNA-seq datasets to identify cell populations, transcriptional states, and lineage relationships, often including integration across samples or modalities.</li><li>sgRNA CRISPR analysis: Computational analysis of CRISPR-based screening data to assess sgRNA performance, target gene effects, and downstream functional consequences.</li><li>Data mining of publicly available datasets: Systematic curation and analysis of existing datasets (e.g., TCGA, TARGET, DepMap, ICGC, or other consortia) to generate new hypotheses, validate findings, or support ongoing research projects.</li><li>ChIP-seq data analysis: Processing and analysis of chromatin immunoprecipitation sequencing (ChIP-seq) data to identify protein-DNA interactions, transcription factor binding sites, and epigenetic regulatory landscapes.</li><li>HLA typing and immunogenomic characterization: Inference of HLA genotypes from sequencing data and downstream analysis of antigen presentation potential and immune-related features.</li><li>Development of machine learning approaches for complex datasets: Design and implementation of statistical and machine learning models to analyze high-dimensional biological data, including classification, clustering, feature selection, and predictive modeling.</li></ul>Rutgers Cancer Institute of New Jersey and RWJBarnabas Health, the state's largest health care delivery system, partner to deliver high-quality and sophisticated oncology care to patients close to home. We are easily accessible to Manhattan, Newark Airport, and Philadelphia. Visit our website at www.cinj.org.Position Status Full Time Posting Number 26FA0554 Posting Open Date 06/02/2026 Posting Close DateQualificationsMinimum Education and ExperienceA PhD in bioinformatics or relevant field with a publication record showing a broad range of computational and analytical efforts is required.Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications Equipment Utilized Physical Demands and Work Environment OverviewRBHS Overview:New Jersey's premier academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all with the goal of improving human health. Aligned with Rutgers University-New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus on cancer treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our renowned faculty are teachers, health researchers and providers, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education and training in medicine, dentistry, pharmacy, public health, nursing, biomedical research, and the full spectrum of allied health careers. An important mission of RBHS is to promote the careers of faculty, staff, and learners. Through this community of healers, scientists, and scholars, Rutgers is equipped as never before to transform lives.Rutgers Robert Wood Johnson Medical SchoolAs one of the nation's comprehensive medical schools, Rutgers Robert Wood Johnson Medical School (RWJMS) is dedicated to pursuing excellence in education, research, healthcare delivery, and the promotion of community health. In cooperation with Robert Wood Johnson University Hospital, the medical school's principal affiliate, they comprise New Jersey's premier academic medical center. In addition, RWJMS has 34 other hospital affiliates and ambulatory care sites throughout the region. RWJMS encompasses 20 basic science and clinical departments and hosts centers and institutes, described below. The medical school maintains undergraduate, graduate, and postgraduate educational programs for more than 1,500 students on its campuses in New Brunswick and Piscataway. It provides continuing education courses for healthcare professionals and community education programs. Previously an academic unit of the University of Medicine and Dentistry of New Jersey, RWJMS became part of Rutgers, The State University of New Jersey, as part of the New Jersey Medical and Health Sciences Education Restructuring Act, on July 1, 2013.Rutgers Cancer Institute:The Rutgers Cancer Institute is the only NCI-designated Comprehensive Cancer Center in New Jersey, and a leader in laboratory, clinical prevention and public health science. Rutgers Cancer Institute offers world-class quality cancer care providing the most advanced medicines and treatment options for patients in its New Brunswick facility as well as at its network of hospitals across the state through the partnership with the Robert Wood Johnson Barnabas Health System and University Hospital in Newark.The new Jack & Sheryl Morris Cancer Center is a state-of-the-art, freestanding cancer hospital featuring outpatient and inpatient capacity coupled with research laboratories, retail space and ancillary services devoted to patient wellness and is a first of its kind in New Jersey. It includes the wide-ranging advanced oncology care services offered by Rutgers Cancer Institute and RWJBarnabas Health, all under one roof - greatly enhancing the patient experience and providing further ease of access. Learn more about this incredible facility at www.cinj.org/jackandsherylmorriscancercenter.StatementRutgers Cancer Institute,the state's only NCI-designated Comprehensive Cancer Center and RWJBarnabas Health, the state's largest health care delivery system partner to deliver high-quality and sophisticated oncology care to patients close to home. This integrated cancer care model combines the strength of both entities, offering access to the most advanced diagnostic and treatment options for adult and pediatric cancer patients, including clinical trials, immunotherapy, proton therapy, precision medicine, CAR T-cell therapy and cardio-oncology. Through the above mentioned partnership and an academic appointment at Rutgers, The State University of New Jersey, unique opportunities exist for collaborations between clinical and research programs, including clinical trials research, cancer chemoprevention, clinical and basic pharmacology, and Phase 1 clinical trials.MissionTo accelerate scientific discovery focused on understanding cancer, innovating cancer treatment, and improving cancer prevention; to provide outstanding, novel, and compassionate patient care; to provide evidence-based and culturally informed education to physicians, nurses, researchers, staff, and the community; and to achieve cancer health equity in our state through outreach to and engagement of our extraordinarily diverse communitiesVisionThrough our science, our evidence-based actions, our openness, and our respect for those we serve, we will advance cancer-focused research worldwide and reduce the burden of cancer in our catchment area. By engaging with and empowering our exceptionally diverse populations, and addressing their questions and fears, we will engender hope for cancer patients and their families and play a critical role in strengthening the fabric of our communities by gaining and protecting their trust and providing access to the outstanding oncology care each person deserves.Core Values<ul><li>Curiosity and Discovery: encouraging an environment of continuous inquiry, creativity, and innovation to generate new knowledge</li><li>Integrity: earning the trust of those we serve and each other through honesty, transparency, accountability, and continuous reflection</li><li>Collaboration: approaching all opportunities with an understanding that together we are better and can achieve more; promoting and maintaining an environment of teamwork and shared knowledge</li><li>Cultivating Diversity: making conscientious efforts in all we do to ensure that our leadership, scientists, clinicians, supporting staff, and trainees reflect the rich diversity of the state of New Jersey and the patient populations and communities we serve</li><li>Respect and Caring: consistently demonstrating caring, compassion, and respect through our words and actions</li><li>Perseverance: maintaining an unwavering commitment to our mission; embracing change, overcoming obstacles, and creating and recreating the path to achieve our goals</li></ul>Posting DetailsSpecial Instructions to ApplicantsApplicants should submit a CV with publication record, a cover letter stating your experience with Cancer Bioinformatics, and alist 3 references with contact information or upload reference letters.Quick Link to Posting <a href="https://jobs.rutgers.edu/postings/276331" rel="nofollow">https://jobs.rutgers.edu/postings/276331</a> Campus Rutgers Biomedical and Health Sciences (RBHS) Home Location Campus Downtown New Brunswick City New Brunswick State NJ Location DetailsPre-employment ScreeningsAll offers of employment are contingent upon successful completion of all pre-employment screenings.Immunization RequirementsUnder Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination.Equal Employment Opportunity StatementIt is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: <a href="http://uhr.rutgers.edu/non-discrimination-statement" rel="nofollow">http://uhr.rutgers.edu/non-discrimination-statement</a>Posting Specific QuestionsRequired fields are indicated with an asterisk (*).Applicant DocumentsRequired Documents<ul><li>Cover Letter/Letter of Application</li><li>Curriculum Vitae</li><li>Research Statement</li></ul>Optional Documents<ul><li>Other Document</li><li>List of Professional References (contact Info)</li><li>Other Documents (2)</li><li>Other Documents (3)</li></ul>

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Data Scientist - I (Assistant) Talent Software Services

Bioinformatics - Assistant to Associate Professor, Non-Tenure Research Track Rutgers The State University of New Jersey

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