Scientist, Computational Biology

1180078
  • Job type

    Contract
  • Location

    Princeton
  • Profession

    Medical Technology
  • Industry

    Healthcare & Medical
  • Pay

    $90.57 - $90.57/hr

Scientist, Computational Biology – Contract – Princeton, NJ – $90.57 - $90.57/hr.

The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate’s/applicant’s qualifications, skills, and level of experience as well as the geographical location of the position.

Applicants must be legally authorized to work in the United States. Sponsorship not available.

Our client is seeking a Scientist, Computational Biology in Princeton, NJ

Role Description

We are seeking an experienced and highly skilled scientist with a PhD in Bioinformatics, Computational Biology, or a related field to join our team. This role will focus on identifying novel target antigens for radiopharmaceutical therapy in oncology. You will play a prominent role in bioinformatics efforts analyzing large scale multi-dimensional biology datasets and real-world patient data to gain a deep understanding of the cancer landscape and identify therapeutic opportunities in areas of unmet patient need.
• Target Antigen Discovery: Lead efforts to identify and validate novel antigen targets for radiopharmaceutical therapy in oncology through integration of multi-omics data, including RNA sequencing, proteomics, and genomics.
• Bioinformatics Analysis: Design and implement novel analytical frameworks to process, visualize and interpret high throughput sequencing and multiplex flow cytometry data from pre-clinical experiments, Real-World cohorts and internal clinical trial data to validate pharmacodynamics effects, confirm the mechanism of action, and enable patient enrichment strategies.
• Collaboration: Work closely with computational biology colleagues, and engage with cross-functional teams, including discovery, translational, and clinical scientists, to provide bioinformatics expertise and guidance on experimental design.
• Interpretation of Results: Generate hypothesis based on the analyses and present findings to both technical and non-technical stakeholders, providing actionable insights to inform radiopharmaceutical discovery and enable data-driven decision-making.
• Oncology Expertise: Apply oncology expertise to understand the molecular mechanisms underlying cancer and therapeutic resistance, particularly in relation to radiopharmaceutical therapy.

Skills & Requirements

• PhD in Bioinformatics, Computational Biology, Cancer Biology, or a related field with 3+ of relevant industry experience.
• Expertise in bioinformatics tools and software for RNA-seq, proteomics, and other omics data analysis.
• Individual contributor role requiring strong background in -omic (DNA, RNA, epigenetic, proteomic) data analysis, biological interpretation and large-scale data analysis, particularly in oncology.
• Proficiency in programming languages such as Python, R, and/or Perl, and experience with bioinformatics software and platforms.
• Strong experience in statistical modeling and/or machine learning approaches, such as mixed-effects models, predictive modeling, etc. to represent biological concepts.
• Experience with clinical database (SDTM/ADaM) and biomarker statistical analysis is a plus.
• Strong understanding of cancer biology, especially in the context of targeted therapies and/or radiopharmaceuticals.
• Demonstrated ability to lead projects and work in interdisciplinary teams.
• Excellent communication skills, both written and verbal, with the ability to present complex data to diverse audiences including biologists and clinicians.
• A strong track record of publications or contributions to impactful research.
• Experience with immune-oncology and radiopharmaceuticals.
• Familiarity with cloud-based platforms (e.g., AWS, Google Cloud) for large-scale data analysis.
• Knowledge of machine learning techniques and their applications in bioinformatics.
• Expertise in analyzing RNA-seq, proteomics, genomics, and other high-throughput sequencing data.
• Proficiency in Python an/or R
• Experience with statistical modeling and machine learning
• Ability to generate hypotheses from their analyses and present findings to both technical and non-technical stakeholders; Ability to translate complex data into actionable insights
• Deep understanding of cancer biology and/or radiopharmaceutical is preferred

Benefits/Other Compensation

This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).

Why Hays?

You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there’s a position you really want, you’re fully prepared to get it.

Nervous about an upcoming interview? Unsure how to write a new resume?

Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.

Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays’ guiding principles is ‘do the right thing’.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.

In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.

Drug testing may be required; please contact a recruiter for more information.

#LI-DNI

Apply for this job