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Bioinformatics Programmer Analyst Jobs in Pennsylvania

$19.25 - $25/hr

... Bioinformatics, Genomics/Computational Biology, Biostatistics, Data Science, Computer Science ... programming languages, computational or analytical methods, data types, compute environments, and ...

$48K - $65K/yr

... network analysis, etc.) * experience with culturing microorganisms (fungi and/or bacteria) * experience with R and/or other programming languages * familiarity with bioinformatics and modeling ...

Interest in AI, data analytics, cloud computing, or scientific computing. * Background or interest ... life sciences, bioinformatics, computational chemistry, or related scientific disciplines.

... with engineering, quality, manufacturing, and regulatory teams to bring new assays from concept ... Lead assay validation and verification studies (analytical sensitivity, specificity, precision ...

Showing results 41-60

Bioinformatics Programmer Analyst information

What is a bioinformatics programmer analyst?

A Bioinformatics Programmer Analyst is a professional who combines knowledge of biology, computer science, and statistics to manage, analyze, and interpret complex biological data, often using programming and software development skills. They typically work with large datasets such as genomic sequences, gene expression profiles, or proteomics data to derive meaningful insights for research or clinical applications. Their role often involves developing software tools, writing scripts for data analysis, and collaborating with biologists and other scientists to solve research problems. Bioinformatics Programmer Analysts are essential in fields like genomics, pharmaceutical research, and personalized medicine.

What are the key skills and qualifications needed to thrive as a bioinformatics programmer analyst?

To thrive as a Bioinformatics Programmer Analyst, you need strong programming skills (such as Python, R, or Perl), a background in biology or bioinformatics, and typically a bachelor's or master's degree in a relevant field. Familiarity with bioinformatics tools, databases (like NCBI, Ensembl), and experience using Linux environments and version control systems (like Git) are essential. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with research teams. These competencies are vital for accurately analyzing biological data and delivering actionable insights in research or clinical settings.

What are some common challenges faced by bioinformatics programmer analysts when integrating new data types into existing pipelines?

Bioinformatics Programmer Analysts often encounter challenges such as data heterogeneity, inconsistent formats, and varying quality when integrating new data types into established analysis pipelines. Addressing these issues requires careful data preprocessing, validation, and sometimes developing custom scripts or modules to ensure compatibility. Collaboration with biologists and data scientists is essential to understand the context of the new data and to tailor solutions that maintain the reliability and reproducibility of results. Staying adaptable and up-to-date with evolving bioinformatics tools and standards also helps in overcoming these integration challenges.

What is the difference between Bioinformatics Programmer Analyst vs Bioinformatics Data Scientist?

AspectBioinformatics Programmer AnalystBioinformatics Data Scientist
Required CredentialsBachelor's in Bioinformatics, Computer Science, or related field; programming skillsBachelor's or Master's in Bioinformatics, Data Science, or related; strong statistical and programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, healthcare analytics
Employer & Industry UsageUsed in biotech, pharma, healthcare for data analysis and software development

The Bioinformatics Programmer Analyst primarily focuses on developing software tools and analyzing biological data using programming skills. In contrast, the Bioinformatics Data Scientist emphasizes statistical analysis and data modeling to interpret complex biological datasets. Both roles require strong programming knowledge and are common in biotech and healthcare industries, but their core responsibilities differ in software development versus data analysis.

What are popular job titles related to Bioinformatics Programmer Analyst jobs in Pennsylvania?

For Bioinformatics Programmer Analyst jobs in Pennsylvania, the most frequently searched job titles are:

What cities in Pennsylvania are hiring for Bioinformatics Programmer Analyst jobs?

Cities in Pennsylvania with the most Bioinformatics Programmer Analyst job openings:

Senior Scientist, Computational Safety & Exploratory Pharmacology

Merck & Co.

West Point, PA • On-site

$106.20 - $167.20/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Merck rating

8.0

Company rating: 8.0 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

43rd of 86 rated pharmaceutical


Job description

The Nonclinical Drug Safety (NDS) division at our company is seeking a motivated and talented biomedical engineer or integrative systems scientist with experience in signal processing and/or computational modeling using physiological signals to join our Safety & Exploratory Pharmacology group.

The Safety & Exploratory Pharmacology (SEP) collaborates with our discovery research, preclinical, and clinical development partners to identify and develop effective, safe therapeutics. To that end, SEP utilizes a purposeful blend of standard screening tools, regulatory-enabling assays, fit for purpose capabilities and forward-looking innovative solutions to understand potential major organ system pharmacodynamic risk to influence drug development strategy.

To enhance that mission, we are looking for an MS or early‑career PhD level individual contributor that will complement existing areas, expand the team's expertise, and help drive future innovation. The successful candidate will have demonstrated experience in areas detailed below and will possess the attributes and interest in developing their career toward increasing levels of responsibility and independence within our team.

Key Responsibilities
  • Analyzing physiological signals to contribute to risk assessment evaluations and developing data visualizations for scientific exploration
  • Building new in‑vivo analysis tools (signal processing, machine learning, AI) for nonclinical data and refining or developing new endpoints
  • Working with external vendors to identify and incorporate potential solutions
  • Collaborating with internal data science and IT teams to implement data tools
  • Integrating new analysis workflows into SEP
  • Contributing to SEP initiatives to develop and characterize novel alternative methods (NAMs) with in‑vitro scientists
Qualifications Education
  • Bachelor's (with 7+ years of experience), Master’s (with 4+ years of experience) or Ph.D. in Biomedical Engineering, Bioengineering, Computational Biology, or a related scientific field with relevant experience in the collection and computational analysis of physiological signals (e.g. ECG, EEG, blood pressure) and a background in pharmacology, physiology, biology, biomedical sciences, or toxicology
Required Experience and Skills
  • Experience with nonclinical signal analysis
  • Proficiency with programming tools (Python, MATLAB, R) for physiological signal analysis, feature extraction, and/or development of computational models (including AI tools and workflows)
  • Previous experience working with physiological, continuous, time‑series data sets (including visualization, analysis, and/or interpretation)
  • Motivation and enthusiasm to expand programming/analysis skill set and learn new software tools
  • Ability to work within teams as a contributor and enable collaborations across departments that deliver current needs and future capabilities
  • Ability to collaborate with both laboratory scientists and data scientists/IT specialists
  • Excellent communication skills and ability to translate complex technical issues to laboratory scientists
Preferred Experience and Skills
  • Nonclinical signal analysis experience in cardiovascular, neuroscience, or respiratory endpoints
  • Experience with statistical and data visualization tools and libraries
  • Experience with cloud computing environments
  • Previous exposure to data science best practices and reproducibility
  • Prior experience working in a multidisciplinary environment within the Pharmaceutical Industry
  • Willingness to influence safety pharmacology science through active participation in external consortiums, publications, and/or scientific presentations
Salary & Benefits

The salary range for this role is $106,200.00 - $167,200.00, a range based on relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for an annual bonus and long‑term incentive, if applicable.

We offer a comprehensive package of benefits including medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days.

Equal Employment Opportunity Statement

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights, EEOC GINA Supplement.

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