Bioinformatics Scientist

Pay Range: $80000.00 - $100000.00 / year

Salary offers are based on a wide range of factors including relevant skills training experience education and where applicable certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation.

Benefits Information:

We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy happy lives. Our pay and benefit plans have been designed to promote employee health in all respects physical financial and developmental. Depending on whether it is a part-time or full-time position some of the benefits offered may include:

Day 1 Medical supplemental health dental & vision for FT employees who work 30 hours

Best-in-class well-being programs

Annual no-cost health assessment program Blueprint for Wellness

healthyMINDS mental health program

Vacation and Health/Flex Time

6 Holidays plus 1 MyDay off

FinFit financial coaching and services

401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service

Employee stock purchase plan

Life and disability insurance plus buy-up option

Flexible Spending Accounts

Annual incentive plans

Matching gifts program

Education assistance through MyQuest for Education

Career advancement opportunities

and so much more!

The bioinformatics scientist will serve as a key technical contributor in the design development and implementation of bioinformatics pipelines and analytical methods to support MRD testing and other NGS assays.

The ideal candidate will bring expertise in NGS data analysis statistical modeling and computational biology with the ability to translate complex genomic data analysis to production clinical pipelines.

This role will involve close collaboration with wet lab scientists clinical operations teams R&D teams and software engineers to ensure high quality accurate reliable and scalable solutions for patient testing and reporting.

This professional will work in a hybrid capacity out of one of the following offices:

Baltimore MD
Secaucus NJ
Marlborough MA
Lewisville TX

• Design develop and optimize bioinformatics pipelines for MRD test development and clinical deployment.
• Analyze high throughput NGS data and drive performance and scientific insights to support research and development of on-market and upcoming products.
• Collaborate with laboratory scientists clinicians and software engineers to validate and integrate bioinformatics solutions into clinical workflows.
• Apply software engineering best practices contributing to the scalability robustness and maintainability of bioinformatics pipelines.
• Document and validate bioinformatics systems in compliance with regulatory and quality standards for clinical diagnostics.
• Stay current with advancements in oncology genomics liquid biopsy and computational biology methods to inform innovation and future product enhancement.
• Identify problems investigate alternatives and recommend possible courses of action contribute to technical decisions.
• Prepare and present information at project meetings scientific & technical meetings/conferences and to customers.

Required Work Experience:

• 5 years of hands-on experience analyzing NGS data

Preferred Work Experience:

• Within oncology diagnostics.

Physical and Mental Requirements:

• If applicable

Knowledge:

• Proficiency in bioinformatics pipeline workflow management particularly Nextflow (preferred) Cromwell or CWL.
• Expertise developing pipelines for cloud-based computational environments (AWS or similar).
• Demonstrated ability to work with regulated clinical or diagnostic environments (e.g. CLIA CAP or FDA submissions)

Skills:

• Strong programming skills in Python R or similar scripting/data analysis languages.
• Strong logical reasoning skills with desire to drive solutions for some of the most challenging problems in the field of oncology diagnostics.

Work Environment:

• Hybrid work schedule

Education:

• Ph.D. in Bioinformatics computational biology genomics or related fields; or M.S. with extensive industry experience.