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Full Time Computer Science Bioinformatics Jobs (NOW HIRING)

Nationwide Children's Hospital

PhD in Bioinformatics, Computational Biology, Computer Science, Biology, Genetics, or related field, required. Skills: * Must have diverse computational and biological expertise. * Must have ...

Goldbelt Apex

Bioinformatician

Atlanta, GA · On-site

Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field * Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint) * Core ...

Baylor Genetics

Lead Bioinformatics AI Scientist

Education: * Master's or higher degree (PhD preferred) in Bioinformatics, Machine Learning and AI, Computer Science, Data Science or related quantitative field. * Experience: * 8+ years of ...

Goldbelt, Inc.

Bioinformatician

Atlanta, GA · On-site

Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field * Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint) * Core ...

MyOme

Bioinformatics Scientist

Menlo Park, CA

$120K - $150K/yr

Master's degree (PhD preferred) in computational biology, computer science or a related field * 3+ ... Experience with bioinformatics tools including bcftools, samtools, bedtools, etc. * Ability to ...

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How much do full time computer science bioinformatics jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for full time computer science bioinformatics in the United States is $42.79, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $43.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Computer Science Bioinformatics professional, and why are they important?

To thrive as a Full Time Computer Science Bioinformatics professional, you need a solid background in computer science, biology, and statistics, usually supported by a degree in bioinformatics, computer science, or a related field. Proficiency in programming languages like Python, R, and experience with bioinformatics tools and databases such as BLAST, Bioconductor, and NCBI are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and interpret complex biological data. These skills and qualities are vital for developing innovative computational solutions that advance biological research and healthcare applications.

What types of interdisciplinary collaboration are common in a Full Time Computer Science Bioinformatics role?

In a Full Time Computer Science Bioinformatics position, professionals frequently collaborate with biologists, statisticians, and clinicians to interpret complex biological data. You’ll often work on cross-functional teams, contributing your computational expertise to projects such as genomic analysis, drug discovery, or clinical data interpretation. Effective communication is key, as you'll need to translate technical findings for team members with diverse backgrounds. This collaborative environment not only enriches problem-solving but also broadens your professional network and skill set.

What is the difference between Full Time Computer Science Bioinformatics vs Full Time Data Scientist?

AspectFull Time Computer Science BioinformaticsFull Time Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, Computer Science
Work EnvironmentResearch labs, healthcare, biotech companiesTech firms, finance, healthcare, consulting
Industry UsageBiotech, pharmaceuticals, academiaTechnology, finance, marketing
Common Search IntentBioinformatics roles, computational biology jobsData analysis, machine learning roles

Full Time Computer Science Bioinformatics focuses on applying computational techniques to biological data, often in healthcare or research settings. Full Time Data Scientist emphasizes analyzing large datasets across various industries. While both roles require programming skills and data analysis expertise, bioinformatics is specialized in biological applications, whereas data science covers broader sectors.

What are full time computer science bioinformatics jobs?

Full time computer science bioinformatics jobs involve using computational and analytical methods to solve biological and biomedical problems. Professionals in these roles develop and apply software tools, algorithms, and databases to analyze biological data, such as DNA sequences, protein structures, and gene expression profiles. These positions typically require strong programming skills, knowledge of biology, and expertise in data analysis. Full time roles may be found in academic research, biotechnology companies, pharmaceutical firms, and healthcare organizations.
What cities are hiring for Full Time Computer Science Bioinformatics jobs? Cities with the most Full Time Computer Science Bioinformatics job openings:
What are the most commonly searched types of Computer Science Bioinformatics jobs? The most popular types of Computer Science Bioinformatics jobs are:
What states have the most Full Time Computer Science Bioinformatics jobs? States with the most job openings for Full Time Computer Science Bioinformatics jobs include:
Full Time Computer Science Bioinformatics jobs near you
Head of Clinical Data Science, Alexion Quantitative Sciences

Head of Clinical Data Science, Alexion Quantitative Sciences

AstraZeneca

Boston, MA • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

AstraZeneca rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

16th of 71 rated pharmaceutical

Job description

Job Title: Head of Clinical Data Science
Location: Boston

At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation - ultimately providing employees with the opportunity to work across teams, functions and even the globe.

Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.

As AstraZeneca continues to put patients at the forefront of our mission, we are excited for our move to Kendall Square/Cambridge in 2026. Find out more information here: Kendall Square Press Release

Introduction to Role:
The SrDirector/Head ofClinical Data Science provides strategic and operational leadership for data science, bioinformatics, and AI/ML functions within the Rare Disease Unit. It drives innovation in clinical development by integrating multi-omics, imaging, and digital health data into unified analytical platforms,establishingrobust AI and data governance, and aligning data science strategy withorganisationalR&D priorities. It owns the future direction of mechanism-centered disease modelling and translational AI within Alexion andsets the vision for the application ofinnovativestatistical and bioinformatics methods.

Accountabilities:

  • Providingstrategic leadership for clinical data science, bioinformatics, and AI/ML initiatives across the Rare Disease portfolio, ensuring alignment with R&Dobjectives.

  • Leadingthe development of Clinical Data Science strategy within Alexion, contributing to the enterprise-wide data science and AI strategy, andcontributing to theAlexion Quantitative Sciences strategy.

  • Buildingand scalinga high-performing cross-functional team spanning AI, bioinformatics, and translational medicine, accelerating study design and data-driven decision-making.

  • Establishingand coordinatingAI and data governance frameworks aligned with regulatory standards (FDA, 21 CFR Part 11, CDISC,GxP), reducing compliance risk across clinical programs.

  • Drivingthe integration of clinical,omics, imaging, and commercial data into unified analytical platforms, enabling sophisticated analytics and knowledge generation.

  • Leadingbiomarker discovery and validation efforts across multi-omics (transcriptomics, proteomics, genomics) to support patient stratification and therapeutic advancement.

  • Developingandmaintainingdata infrastructure - data lakes, knowledge graphs, andwearablespipelines - to create sustainable, scalable capabilities for rare disease research.

  • Partneringwith translational medicine and clinical teams to design innovative Phase 1/2 proof-of-concept strategies incorporating omics and digital health technologies.

  • Being responsible forthe identification andprioritisationof therapeutic targets through AI-enabled clinical and imaging approaches, advancing candidates to IND.

  • Championingthe adoption of digital health solutions, including wearables and imaging, as exploratory and registrational endpoints in clinical trials.

  • Integratingmulti-omics datasets into pharmacokinetic (PK) models, improving predictionaccuracyand strengthening dose-response insights for rare disease programs.

  • ApplyingAI/ML and omics-driven disease clustering to guideindicationprioritisationand drug re purposing opportunities, expanding pipeline value in rare and metabolic diseases.

  • Servingas a senior leaderrepresentingClinical Data Science in internal governance forums and external collaborations, shaping the strategic direction of data-driven rare disease R&D.

  • Planningand managingcomplex departmentalbudget, including forecasting for quarterly, annual, and multi-year cycles, and input to the Strategic Planning process.

  • Leadingportfolio-level data science capacity management for the R&D unit and contributingto or leadingAlexion Quantitative Sciences pivotal initiatives.

Essential Skills/Experience:

  • PhD ormaster's degree

  • DataScience, Bioinformatics, Computational Biology, Computer Science, or equivalent experience

  • Minimum 10 years of pharmaceutical or biotech experience

  • Experience inaDataScience,Bioinformatics, or AI/ML function

  • Minimum 6 years managing direct reports in a global setting

  • Experience integrating multi-omics data (genomics, transcriptomics, proteomics) in drug development and conducting analyses in R, Python, and relevant software

  • Deepexpertisein AI/ML methods and their application to clinical and translational medicine

  • Experience integrating multi-omics data (genomics, transcriptomics, proteomics) in drug development

  • Thorough knowledge of regulatory standards: FDA, 21 CFR Part 11, CDISC,GxP

  • Demonstrated ability to influence strategically and build cross-functional partnerships

  • Track recordof leading AI and data governance in regulated pharmaceutical environments

  • Experience successfully leading global, cross-functional teams

  • Strong eye for business and experience influencing and managing budgets

Desirable Skills/Experience:

  • Experience with rare disease drug development and patient stratification strategies

  • Familiarity with knowledge graphs, graph ML, and mechanism-centered disease representation

  • Experience with wearables, digital biomarkers, and imaging as clinical endpoints

  • Experience withindicationexpansion and AI-driven drug re-purposing programs

  • Broad experience across multiple therapeutic areas beyond rare diseases

  • Experience managing significantorganisationalchange and scaling data science functions

Where can I find out more?

  • Follow AstraZeneca on LinkedIn
  • Follow Alexion on LinkedIn
  • Follow AstraZeneca on Facebook
  • Follow AstraZeneca on Instagram
  • Learn more about Alexion at www.alexion.com

At Alexion, you will find a collaborative culture that encourages innovation and a diverse environment where your contributions are valued. You will have the opportunity to be at the forefront of rare disease research and make a meaningful difference in patients' lives.
Ready to lead and inspire? Apply now and take the first step towards a fulfilling career at Alexion, AstraZeneca Rare Disease.

Total Rewards:

The annual base pay (or hourly rate of compensation) for this position ranges from $212,994 to $319,492. Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.

Alexion embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. Alexion is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com.

#LI-Hybrid

Date Posted

09-Jun-2026

Closing Date

25-Jun-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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