Quest Diagnostics Incorporated
Staff Scientist, Bioinformatics (Hybrid)
Quest Diagnostics Incorporated, Marlborough, Massachusetts, us, 01752
Pay Range: $114,000.00 - $134,000.00 / 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:
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!
Complete oversight of BME operations for large, complex sites and/or multiple sites to ensure service program efficiency and to satisfy the equipment support needs of the company.
The purpose of the BME Sr. Manager position is to develop, coordinate, and expand the BME program as necessary to ensure all aspects of service (internal and external) for all lab instrumentation and general lab equipment satisfy the quality and regulatory requirements and service needs for each lab, enabling operations to run efficiently, profitably, and with excellent quality.
We are a leading oncology diagnostics company dedicated to advancing precision medicine through cutting edge ultra-sensitive genomic technologies. As we expand our portfolio of minimal residual disease (MRD) testing solutions, we are seeking a highly skilled and motivated Bioinformatics Scientist to join our team. This role offers the opportunity to contribute to the development and implementation of bioinformatics methods that directly impact cancer patient care, enabling improved monitoring, and more informed treatment decisions.
Description:
The staff 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 into operationally and clinically meaningful insights.
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 requiring 3 days onsite per week at our Marlborough, MA facility.
Responsibilities
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.
Support regulatory and quality documentation, including validation reports, standard operating procedures, and compliance with CLIA/CAP and other quality and regulatory standards.
Provide scientific and technical leadership in bioinformatics, mentoring junior team members and guiding best practices.
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.
Qualifications Required Work Experience
Ph.D. or M.S. with extensive industry experience.
5+ years of hands‑on experience analyzing NGS data, preferably in oncology diagnostics.
Strong programming skills in Python, R, or equivalent platforms.
Strong logical reasoning skills, with desire to drive solutions for some of the most challenging problems in the field of oncology diagnostics.
Proven expertise in variant calling, error suppression, and ultra‑sensitive detection of low‑frequency variants.
Expertise with cloud based computational environments (AWS, or similar).
Demonstrated ability to work with regulated clinical or diagnostic environments (e.g., CLIA, CAP, or FDA submissions)
Preferred Work Experience
Ph.D in Bioinformatics, computational biology, genomics, or related fields
Physical and Mental Requirements
Sitting for long periods at a time.
Maintain composure under pressure
Adapts to change
Ability to grasp information quickly
Ability to multi‑task
Ability to follow verbal or written instructions
Using effective verbal communication
Think analytically
Using effective written communication
Handle stress & emotions
Concentrate on tasks
Making decisions
Adjust to change
Examine/observe details
Knowledge
Requires knowledge and skills normally acquired through the successful completion of an advanced degree (M.S./Ph.D.) in Genomics, Computational Biology, Computer Science, or related scientific discipline.
Knowledge of related products and technologies - academic or industrial setting
Skills
Mathematical Skills, Reasoning Ability
Ability to read and interpret documents such as professional journals, operating instructions, and procedure manuals. Ability to write complete reports and correspondence. Ability to speak effectively in one‑on‑one and small group situations including teleconferenced/remote participants.
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.
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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:
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!
Complete oversight of BME operations for large, complex sites and/or multiple sites to ensure service program efficiency and to satisfy the equipment support needs of the company.
The purpose of the BME Sr. Manager position is to develop, coordinate, and expand the BME program as necessary to ensure all aspects of service (internal and external) for all lab instrumentation and general lab equipment satisfy the quality and regulatory requirements and service needs for each lab, enabling operations to run efficiently, profitably, and with excellent quality.
We are a leading oncology diagnostics company dedicated to advancing precision medicine through cutting edge ultra-sensitive genomic technologies. As we expand our portfolio of minimal residual disease (MRD) testing solutions, we are seeking a highly skilled and motivated Bioinformatics Scientist to join our team. This role offers the opportunity to contribute to the development and implementation of bioinformatics methods that directly impact cancer patient care, enabling improved monitoring, and more informed treatment decisions.
Description:
The staff 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 into operationally and clinically meaningful insights.
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 requiring 3 days onsite per week at our Marlborough, MA facility.
Responsibilities
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.
Support regulatory and quality documentation, including validation reports, standard operating procedures, and compliance with CLIA/CAP and other quality and regulatory standards.
Provide scientific and technical leadership in bioinformatics, mentoring junior team members and guiding best practices.
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.
Qualifications Required Work Experience
Ph.D. or M.S. with extensive industry experience.
5+ years of hands‑on experience analyzing NGS data, preferably in oncology diagnostics.
Strong programming skills in Python, R, or equivalent platforms.
Strong logical reasoning skills, with desire to drive solutions for some of the most challenging problems in the field of oncology diagnostics.
Proven expertise in variant calling, error suppression, and ultra‑sensitive detection of low‑frequency variants.
Expertise with cloud based computational environments (AWS, or similar).
Demonstrated ability to work with regulated clinical or diagnostic environments (e.g., CLIA, CAP, or FDA submissions)
Preferred Work Experience
Ph.D in Bioinformatics, computational biology, genomics, or related fields
Physical and Mental Requirements
Sitting for long periods at a time.
Maintain composure under pressure
Adapts to change
Ability to grasp information quickly
Ability to multi‑task
Ability to follow verbal or written instructions
Using effective verbal communication
Think analytically
Using effective written communication
Handle stress & emotions
Concentrate on tasks
Making decisions
Adjust to change
Examine/observe details
Knowledge
Requires knowledge and skills normally acquired through the successful completion of an advanced degree (M.S./Ph.D.) in Genomics, Computational Biology, Computer Science, or related scientific discipline.
Knowledge of related products and technologies - academic or industrial setting
Skills
Mathematical Skills, Reasoning Ability
Ability to read and interpret documents such as professional journals, operating instructions, and procedure manuals. Ability to write complete reports and correspondence. Ability to speak effectively in one‑on‑one and small group situations including teleconferenced/remote participants.
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.
#J-18808-Ljbffr