Biostatistician Principal

Mass General Brigham•Boston, MA

1d•$57 - $82•Hybrid

About The Position

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 analysis 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.

Requirements

Master's Degree Statistics required or Master's Degree Related Field of Study required
PhD in bioinformatics, computational biology, cancer genetics or a closely related discipline, with a 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, 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.

Nice To Haves

Experience with leukemia models, and with 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 and 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.