Data Scientist I - Pathology AI and Microscopy / Digital Pathology (Remote)

Job Details

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Job ID:
25845

Location:
450 Brookline Ave, Boston, MA 02215

Category:
Research Laboratory

Employment Type:
Full time

Work Location:
Full Remote: 4-5 days remote/wk

Overview

Data Scientist I - Pathology AI and Microscopy / Digital Pathology

We are seeking an intelligent, hard-working, and dynamic individual to serve as a data scientist focusing on Pathology AI within the AI Operations and Data Science Services group -- a group serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The group encompasses expertise in AI, data science, machine learning, NLP, computer vision, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. The group seeks to develop a highly interdisciplinary environment supporting our research, clinical and operational staff advance the overall mission of DFCI which is to provide expert, compassionate care to children and adults with cancer while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. 

This position is fully remote with flexibility to come onsite if desired. Please note that any qualified candidates must reside in MA, RI, or NH.



As we widen our support of several crucial centers and programs at DFCI, we seek an energetic and motivated data scientist who will contribute to designing, implementing, and deploying computational image analysis pipelines to support the Institute’s initiatives in spatial proteomics and other cutting-edge technologies at the intersection of imaging and molecular profiling. The candidate will serve as the data science domain expert on highly interdisciplinary, collaborative projects, ranging from hypothesis-driven research projects to building institutional-scale computational infrastructure to enhance and improve the Institute’s capabilities across entire departments and centers. The successful candidate will bring deep technical skills as well as strong communication and collaboration skills, with proven experience working on large complex projects, meeting deadlines, and managing relationships with key stakeholders. 

Responsibilities

The key responsibilities and requirements will be:

  • Working with the area leader for Pathology AI in order to support their tasks in managing internal research clients and leading and executing projects end-to-end as required, as well as leading certain aspects of the Pathology AI area (eg, Client management, certain technical projects, etc.)
  • Consulting with scientists, identifying their needs from a data science and data infrastructure perspective, and designing and implementing plans and solutions to address these gaps
  • Delivery of results for projects on-time and on-budget
  • Working as part of the broader team to identify longer-term solutions that will improve quality, speed and efficacy of our current projects and programs
  • Evaluating and benchmarking new libraries; prototype and pipeline development.
  • Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects
  • Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities
  • Mentor and supervise junior personnel, scoping and delegating work to Associate Data Scientists and/or Data Science Interns and Trainees, as well as supporting them during their projects in order to deliver new and ambitious goals in the group
  • Consistently track all activities in project management tools; work with Project Manager as required
  • Demonstrate excellent soft-skills, such as excellent oral, written, and presentation communication skills
  • Contribute to scientific manuscripts and presentations as required
  • Possibly, attract new research clients
  • Actively contribute to the growth of the AI Operations and Data Science Services group, in terms of scope, access, responsibilities, and new projects that are trusted with the group
  • Support the I&A Department and the Institute as a whole, should be the baseline mentality

Requirements:

  • Deep AI / data science skills, at the interface between computer science and statistics
  • MS in quantitative field such as data science, computer science, applied mathematics, or equivalent experience with evidence of impact in data science applied to real life problems (eg, some quant master courses AND experience in data science internship) in a research setting ideally within a clinical or research environment
  • Experience with data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering.
  • Strong proficiency in Python. Key domains include: machine learning, image processing, distributed/high-performance computing
  • Strong knowledge of image processing and computer vision techniques
  • Familiarity with Jupyter Lab, linux, and git

Qualifications

Preferred Qualifications:

  • Preferred 1 to 5 years of experience post MS or PhD
  • Prior experience with spatial omics STRONGLY preferred (e.g., CODEX, MERFISH, CyCIF, seqFISH, etc.)
  • Experience with design and development of open-source software/tools (software design best practices, unit testing, integration testing, packaging, documentation, etc.)
  • Cloud computing experience (e.g., GCP)
  • Domain knowledge of cancer biology, immunology, oncology, cancer genetics, is a plus

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

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