Staff Scientist, Bioinformatics (Hybrid)

Job Description

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. 

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