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Bioinformatics Scientist Jobs in Delaware (NOW HIRING)

We combine scientific expertise, data-driven insights, and cutting-edge technologies to solve complex challenges and deliver impactful results. The role is based in Wilmington, DE (on-site). Be part ...

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Bioinformatics Scientist information

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$37

$54

$74

How much do bioinformatics scientist jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for bioinformatics scientist in Delaware is $54.84, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $62.55 per hour, depending on experience, location, and employer.

What is a Bioinformatics Scientist?

A Bioinformatics Scientist is a professional who uses computational tools and techniques to analyze and interpret biological data, such as DNA, RNA, and protein sequences. They combine expertise in biology, computer science, mathematics, and statistics to solve complex problems in genomics, drug discovery, and other life sciences fields. Bioinformatics Scientists often work with large datasets, develop algorithms, and create databases to help researchers understand biological processes and make scientific discoveries.

What do you do as a bioinformatics scientist?

A bioinformatics scientist analyzes biological data, such as genetic sequences and molecular structures, using computational tools and algorithms. They develop and apply software to interpret complex biological information, often working with large datasets and programming languages like Python or R in research or healthcare settings.

What is the salary of a bioinformatics scientist?

The salary of a bioinformatics scientist typically ranges from $70,000 to $120,000 annually, depending on experience, education, location, and industry. Entry-level positions may start lower, while experienced professionals with advanced skills in programming, data analysis, and bioinformatics tools can earn higher salaries.

What is the difference between Bioinformatics Scientist vs Bioinformatics Analyst?

AspectBioinformatics ScientistBioinformatics Analyst
Required CredentialsTypically requires a Master's or Ph.D. in Bioinformatics, Computational Biology, or related fieldsUsually holds a Bachelor's or Master's degree in Bioinformatics, Biology, or related areas
Work EnvironmentResearch labs, biotech companies, academic institutions, often involved in developing new algorithms and toolsData analysis in clinical or research settings, interpreting existing data sets
Employer & Industry UsageUsed in biotech, pharma, academia for research and developmentCommon in healthcare, clinical research, and biotech for data interpretation

In summary, Bioinformatics Scientists typically hold advanced degrees and focus on developing new computational methods, while Bioinformatics Analysts often have a more applied role, interpreting data to support research or clinical decisions.

What biology jobs pay over $100k?

Bioinformatics scientists and related roles such as computational biologists, genomic data scientists, and senior research scientists often earn over $100,000 annually, especially with advanced degrees and experience. These positions typically require strong programming skills, knowledge of biological data analysis, and familiarity with tools like R, Python, or SQL.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatics scientists. Professionals in this field use AI alongside programming, statistical skills, and domain knowledge to interpret complex biological data. Human expertise remains essential for designing experiments, validating results, and making critical decisions.

What are the key skills and qualifications needed to thrive as a Bioinformatics Scientist, and why are they important?

To thrive as a Bioinformatics Scientist, you need a strong background in biology, statistics, and computer science, typically supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R, or Perl), bioinformatics databases, and data analysis platforms like BLAST or Galaxy is essential. Critical thinking, problem-solving, and clear communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful insights from large biological datasets and advancing scientific research.

How do Bioinformatics Scientists typically collaborate with biologists and other researchers on multidisciplinary projects?

Bioinformatics Scientists often work closely with biologists, chemists, and data analysts to interpret complex biological data. Collaboration usually involves translating biological questions into computational problems, developing or applying algorithms, and communicating findings in a way that is accessible to non-technical team members. Effective teamwork requires strong communication skills and the ability to bridge the gap between experimental data and computational analysis, ensuring that research goals are aligned across disciplines.
What are popular job titles related to Bioinformatics Scientist jobs in Delaware? For Bioinformatics Scientist jobs in Delaware, the most frequently searched job titles are:
Infographic showing various Bioinformatics Scientist job openings in Delaware as of July 2026, with employment types broken down into 7% As Needed, 75% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $114,064 per year, or $54.8 per hour.
Principal Investigator, Translational Biomarker Discovery Laboratory

Principal Investigator, Translational Biomarker Discovery Laboratory

Incyte Corporation

Wilmington, DE • On-site

Full-time

Posted 6 days ago


Job description

Overview
A global biopharmaceutical company on a mission to Solve On, Incyte follows science to find solutions for patients with unmet medical needs. Through the discovery, development, and commercialization of proprietary therapeutics, Incyte has established a portfolio of first-in-class medicines for patients and a strong pipeline of products in Hematology, Oncology and Inflammation and Autoimmunity
Headquartered in Wilmington, Delaware, Incyte has operations in North America, Europe, and Asia.
Job Summary (Primary function)
The Associate Director, Translational Sciences is a senior, lab-embedded translational scientist who leads the design and execution of strategies that bridge preclinical discovery and early clinical development. This role is responsible for converting patient-derived, multi-omic data generated internally and through external collaborations into actionable assays, biomarkers, and translational insights that support therapeutic target discovery, preclinical de-risking, and dose prediction and optimization.
The Associate Director provides scientific and technical leadership by integrating multi-omic analyses (e.g., transcriptomic, proteomic, and cellular profiling) with advanced assay development to define mechanism-aligned biomarkers and pharmacodynamic readouts that inform target selection, exposure-response understanding, and early clinical strategy. The role partners closely with Discovery, Bioinformatics, Biomarker, Clinical, and other development functions to ensure mechanistic hypotheses and patient-relevant data are fully integrated into program decisions.
This position is intentionally designed as a scientist-first role, emphasizing hands-on laboratory engagement, technology implementation, and data interpretation. The Principal Investigator/Associate Director will primarily operate as a senior individual contributor, with the potential to oversee a small team of laboratory scientists or matrixed contributors over time, while remaining actively involved in experimental design, assay execution, and cross-functional program support.
Essential Functions of the Job (Key responsibilities)
• Lead the design, development, and implementation of state-of-the-art translational assays and platforms, including molecular, cellular, and multi-omic technologies.
• Drive biomarker discovery and validation from exploratory research through fit-for-purpose assay development for preclinical and early clinical use.
• Apply advanced technologies (e.g., transcriptomics, proteomics, spatial biology, and single-cell approaches) to address key translational and mechanistic questions.
• Integrate patient-derived multi-omic datasets to support therapeutic target discovery, prioritization, and validation across oncology and inflammation/autoimmune programs.
• Collaborate with bioinformatics and data science partners to translate complex multi-omic data into biologically and translationally actionable insights.
• Provide translational input to preclinical development programs, including mechanism-of-action confirmation, exposure-response evaluation, and dose optimization strategy.
• Contribute to early toxicology assessment and de-risking, including identification of safety-relevant biomarkers and translational readouts.
• Design and utilize in vivo, ex vivo, and human-relevant model systems, including patient-derived samples, organoids, primary cells, and PBMC-based platforms.
• Ensure scientific rigor, reproducibility, and high-quality data interpretation across all assays and experimental approaches.
• Provide technical leadership and mentorship within the Translational Biomarker Discovery Lab, including hands-on experimental guidance and oversight of external collaborations or CROs as needed.
Qualifications (Minimal acceptable level of education, work experience, and competency)
• PhD with post doc (or equivalent) in Oncology, Molecular Biology, Systems Biology, Immunology, or a related life sciences discipline
• 3-10 years of experience in translational research within pharma, biotech, or a comparable research environment
• Strong, demonstrable expertise in assay development, optimization, and implementation
• Hands on experience with advanced molecular and cellular technologies and multi omic platforms
• Proven ability to integrate biological data across multiple modalities to inform discovery and translational decisions
• Experience working with human samples and clinically relevant model systems
• Strong scientific communication skills and ability to collaborate effectively in matrixed teams
Preferred
• Experience supporting biomarker strategies for early clinical programs
• Familiarity with oncology and/or inflammatory/autoimmune disease biology
• Experience interacting with toxicology, DMB, or CQP functions
• Comfort working in a role that combines scientific independence with focused team oversight, rather than large scale management
Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.
Incyte Corporation is committed to creating a diverse environment and is proud to be an equal opportunity employer.
We Respect Your Privacy
Learn more at: http://www.incyte.com/privacy-policy
The Incyte hiring organization processes your personal data to manage your job application in order to enter into an employment relationship with you if you are the successful candidate.
During the process, you may be asked to respond to questions that will screen out your application if you do not meet certain objective criteria required by the job. You can learn more about this process here.
You may have the right to access, delete, restrict, edit, move, or object to the use of your personal data. You may also have a right to report concerns to the authority responsible for data privacy in the country where the position is based or where you live or work.
You can learn more about Incyte's data protection practices here. By accessing this link you can learn about the types of personal data we collect, how we use it, whether collection and processing is optional, sources of the personal data we process, how it is shared, where it is stored or transferred to, how long we keep it, and contact information for Incyte, Incyte's data protection officer, and your supervisory authority (if applicable).
Please contact privacy@incyte.com if you have any questions or concerns or would like to exercise your rights.