1

Bioinformatics Data Engineer Jobs in Pennsylvania

Bioinformatics Engineer

Windber, PA · On-site

$90 - $130/hr

Lead data operation to visualize large complex cancer related data sets * Integrate project results ... Keep up to date with advancements in bioinformatics and software engineering for the continuous ...

New

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

A minimum of a BS degree in a core science or engineering field, including biology, chemistry, chemical/biochemical engineering, biomedical engineering, physics, bioinformatics, data science, applied ...

A minimum of a BS degree in a core science or engineering field, including biology, chemistry, chemical/biochemical engineering, biomedical engineering, physics, bioinformatics, data science, applied ...

A minimum of a BS degree in a core science or engineering field, including biology, chemistry, chemical/biochemical engineering, biomedical engineering, physics, bioinformatics, data science, applied ...

next page

Showing results 1-20

Bioinformatics Data Engineer information

What is a bioinformatics data engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

How do bioinformatics data engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

What are the key skills and qualifications needed to thrive as a bioinformatics data engineer, and why are they important?

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.

What is the difference between Bioinformatics Data Engineer vs Bioinformatics Analyst?

AspectBioinformatics Data EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

What job categories do people searching Bioinformatics Data Engineer jobs in Pennsylvania look for?

The top searched job categories for Bioinformatics Data Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Bioinformatics Data Engineer jobs?

Cities in Pennsylvania with the most Bioinformatics Data Engineer job openings:

Sr Cloud DevOps Engineer

Children's Hospital of Philadelphia

Philadelphia, PA • On-site

$131K - $168K/yr

Full-time

Re-posted 22 days ago


Children's Hospital Of Philadelphia rating

8.4

Company rating: 8.4 out of 10

Based on 96 frontline employees who took The Breakroom Quiz

73rd of 1,060 rated hospitals


Job description

SHIFT:

Day (United States of America) Seeking Breakthrough Makers
Children’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation.
At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career.
CHOP’s Commitment to Diversity, Equity, and Inclusion
CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children.
We strongly encourage all candidates of diverse backgrounds and lived experiences to apply.
A Brief Overview
The Bioinformatics Engineer III position is a 3rd stage position for those with high levels of experience in the support of robust computational environments focused on the management, transfer, formatting, and general processing of complex data types associated with genomics and proteomics. Whereas the Bioinformatics Scientist is primarily focused on the outcome of an analysis in terms of the scientific endpoint, the Bioinformatics Engineer is primarily focused on the outcome of an analysis in terms of validity, efficiency, and robustness. The focus of the position is systems design for and implementation of data manipulation and analysis pipelines, applications, general hardware configurations, and bioinformatics-specific hardware configurations. The Bioinformatics Engineer III is also responsible for actively participating in the development of enterprise-wide systems by promoting the needs of large-scale bioinformatics and optimizing those systems in terms of the enterprise solution for sustainability. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. Activities occur with a low degree of supervision with high latitude for independent judgment. The Bioinformatics Engineer III will be well versed in application of best practices as a bioinformatics engineer expert. The Bioinformatics Engineer III is primarily focused on supporting bioinformatics analytical groups and individuals as an engineering domain expert and strategic data resource. The Bioinformatics Engineer III must be able to perform all responsibilities listed in the Bioinformatics Scientist I and Bioinformatics Engineer II job descriptions. All responsibilities listed in this description are additional.
What you will do
  • Computational Environment Development and Optimization (60%):
  • Integrate large-scale bioinformatics pipelines into larger sustainable enterprise data processing solutions.
  • Integrate large-scale bioinformatics high performance computing (HPC) capability into larger sustainable enterprise analytical solutions.
  • Integrate large-scale bioinformatics storage frameworks into larger sustainable enterprise storage solutions.
  • Lead the development and evolution of a robust heterogeneous UNIX, LINUX, OSX environment.
  • Evaluate trends in bioinformatics data production and analysis and identify likely requirements for bioinformatics data processing and storage systems. Communicate value of trends/innovations to organization using metrics and forecasting.
  • Implement best practices for bioinformatics processing, storage, and manipulation of bioinformatics data
  • Monitor new bioinformatics technologies, assess relevance to research or clinical systems, and contribute to benchmarking and evaluation.
  • Act as primary contact for vendor-purchased systems and services and participates in negotiation process (or leads under supervision).
  • Develop and implement a program for continuous assessment of commercial and open-source bioinformatics data processing solutions by applying structured benchmark evaluation.
  • Collaboration and Mentorship (20%): Establish role within collaborative project team as primary computational engineering resource
  • Lead projects where needed by serving as engineering point, especially for solutions involving coordination of multiple disciplines.
  • Serve as leader for complete computational solution by assessing all stakeholders, including bioinformatics management, bioinformatics scientists, Digital & Technology Services staff, and principal investigators
  • Proactively mentor lower tier engineering individuals and groups as needed
  • Promote sustainability and enterprise adoption by maintaining successful key relationships with multiple stakeholders inside and outside the department.
  • Documentation and Standardization (20%):
  • Under supervision, lead the development of a formal bioinformatics engineering plan and development roadmap.
  • Establishes policies and standards for data quality, completeness, and reproducibility.
  • Establishes policies and standards for performance benchmarking and system stability.
  • Develops and directs the execution of a robust data quality program, focused on transparency and reproducibility of results.
  • Leads preparation and successful response program for audit and adherence to applicable regulatory requirements (e.g., HIPAA, CAP, CLIA).
  • Promote sustainability and enterprise adoption through proactive documentation.
Education Qualifications
  • Bachelor's Degree Required
  • Master's Degree computational discipline or systems engineering Preferred
Experience Qualifications
  • At least seven (7) years experience in a production clinical or research bioinformatics data processing role. Required
  • At least eight (8) years in a production clinical or research bioinformatics data processing role Preferred
Skills and Abilities
  • Extensive knowledge with high performance and parallel computing environments and data processing workflows essential.
  • Extensive experience with data storage frameworks essential.
  • Extensive knowledge of CPU- and IO-intensive bioinformatics data analysis applications.
  • Demonstrated track record of optimizing systems to meet changing performance and load requirements.
  • Extensive knowledge of HPC systems, job management applications, including methods for profiling performance, benchmarking, and optimizing multiple job types and scenarios in bioinformatics data processing.
  • Ability to independently plan and execute pipelines and workflows of high complexity required.
  • Ability to independently engineer systems relative to larger enterprise framework required.
  • Strong UNIX/LINUX expertise required.
  • Expertise in support mechanisms for applications written in common bioinformatics languages such as R, Python, Perl or similar required
  • Expertise in support mechanisms for common bioinformatics applications, data sources, and data formats required.
  • Knowledge of common microarray, NGS, mass spectrometry, or other high-throughput data formats is required.
  • Expertise with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is required.
  • Demonstrated ability to develop and implement best practices for bioinformatics systems integration, testing, and deployment is required.
  • Expert knowledge with cloud computing concepts and applications is required.
  • Ability to lead discussions with various information systems and technology owners to achieve desired bioinformatics outcomes is required.

To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more.
Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed.
EEO / VEVRAA Federal Contractor | Tobacco Statement

What Children's Hospital Of Philadelphia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Children's Hospital of Philadelphia logo

About Children's Hospital of Philadelphia

Sourced by ZipRecruiter

The Children's Hospital of Philadelphia (CHOP) is a renowned healthcare institution dedicated to the welfare of children. Established in 1855 and situated in the heart of Philadelphia, PA, US, it's known primarily for pediatric healthcare services, pioneering new treatments, and conducting notable research in child-related medical disciplines. As an industry trailblazer, CHOP has a well-established reputation in the pediatric healthcare sector and is recognized globally for its innovative approach towards advancing children's healthcare.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US

Year founded

1855