Biostatistician Principal

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

About the role

The Chai Laboratory seeks a doctoral-level Senior Computational Scientist to provide specialized, intermittent computational leadership to an active portfolio of epigenomics and hematologic malignancy projects. This is a per diem appointment created to sustain continuity of a highly specialized analytical program during a defined interval, and to carry several late-stage manuscripts through revision, resubmission and publication. The laboratory’s epigenomics program is built on a proprietary set of internally developed analyses with no commercial or off-the-shelf equivalent. The successful candidate will act as the technical maintainer of these frameworks and as computational co-investigator on the studies that depend on them. As the appointment is intermittent, part-time and tied to manuscripts already under review, the candidate must be able to contribute productively from the first billed hour.

Qualifications

• Master's Degree in Statistics or a related field of study (experience may be accepted in lieu of a degree).
• PhD in bioinformatics, computational biology, cancer genetics, or a closely related discipline, with expertise in hematologic malignancy.
• Formal degree-level training in computer science or software engineering; the role requires maintenance and release engineering of production research software used outside this institution, not scripting-level analysis alone.
• Formal training in diagnostic pathology or an equivalent wet-laboratory discipline, with demonstrated independent bench capability; the role requires unsupervised interpretation of computational results against experimental design, without an intermediary.
• Minimum seven (7) years of post-doctoral research experience in myeloid malignancy epigenetics.
• Demonstrated first, senior, or corresponding authorship of published, publicly maintained NGS analysis pipelines that are in documented use by laboratories outside the author’s own institution.
• Direct experience with methylation-domain discovery.
• Peer-reviewed publication record commensurate with senior scientific standing, to include first-authorship and senior/corresponding authorship in journals of the highest impact tier, and demonstrated productivity in hematology, epigenetics, and cancer metabolism.
• Existing academic appointment at the rank of Instructor or above.
• Immediate availability and current U.S. work authorization; the intermittent per diem structure does not permit a training or onboarding period.
• Advanced proficiency in R, Python, and Unix/Linux shell environments, and competence in HPC and cloud-based analysis at multi-terabyte scale.

Preferred Qualifications

• Experience with leukemia models and DNMT3A-mutant AML biology.
• In vivo hematopoiesis experience, including conditional-knockout murine bone marrow handling experience.
• Peer-review service for scientific journals.
• University-level teaching experience and demonstrated ability to communicate technical results to non-specialist audiences.

Responsibilities

• Serve as lead computational scientist and technical owner of the laboratory’s DNA methylation regulatory-element program.
• Maintain, extend, debug, and version the laboratory’s published analysis pipelines.
• Analyze and integrate multi-omic datasets: WGBS/RRBS, ChIP-seq, CUT&RUN, ATAC-seq, RNA-seq, RIP-seq, single-cell RNA-seq, CITE-seq, and long-read sequencing.
• Provide statistical genetics support, including rare-variant burden analysis across germline datasets and pathway-level aggregation strategies.
• Respond to peer-review critique on manuscripts currently in press or under revision, regenerating analyses and publication-quality figures to journal-imposed revision deadlines.
• Advise and train junior computational staff, graduate students, and wet-lab scientists in the use of the above frameworks.
• Contribute analytical sections, preliminary data, and data-management plans to federal and foundation grant applications.

Schedule

• Employee Type: Per Diem
• Work Shift: Day (United States of America)
• Scheduled Weekly Hours: 0 (intermittent)
• Work Location: Hybrid (77 Avenue Louis Pasteur)

Pay

Pay Range: $56.59 - $82.31/Hourly (Grade 8)

At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience, education, certifications, and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable, and recognition programs designed to celebrate your contributions and support your professional growth.