Postdoctoral Research Fellow - Van Allen Lab
Company: Dana-Farber Cancer Institute
Location: Boston
Posted on: October 20, 2024
Job Description:
The Dana-Farber Cancer Institute seeks a POSTDOCTORAL
COMPUTATIONAL BIOLOGIST AND DATA SCIENTIST FELLOW, under the Van
Allen lab () to work on the analysis of new datasets generated in
the context of multiple clinically oriented cancer sequencing
projects to help advance efforts for precision cancer medicine. As
Dr. Van Allen is the Chief of the Division of Population Sciences,
our research effort includes collaborative work with the division
faculty members on identification of cancer risk, risk mitigation,
early detection, prevention, delivery of cancer care, and health
policy. The Van Allen lab is an interdisciplinary and highly
collaborative laboratory with diverse scientists from various
scientific domains leading exciting cancer research.Located in
Boston and the surrounding communities, Dana-Farber Cancer
Institute brings together world-renowned clinicians, innovative
researchers, and dedicated professionals, allies in the common
mission of conquering cancer, HIV/AIDS, and related diseases.
Combining extremely talented people with the best technologies in a
genuinely positive environment, we provide compassionate and
comprehensive care to patients of all ages; we conduct research
that advances treatment; we educate tomorrow's
physician/researchers; we reach out to underserved members of our
community; and we work with amazing partners, including other
Harvard Medical School-affiliated hospitals.The qualified candidate
will specifically focus on new algorithms for the clinical
integration of integrative molecular profiling and large-scale data
sets (e.g., pathology images, clinical notes) to enable new
discoveries in patients under multiple contexts. A specific focus
on advancing algorithm development through emerging deep learning
techniques is especially of interest. The candidate will also
evaluate and integrate existing tools and databases into
high-throughput pipelines and facilitate the display and
distribution of processed data.Related projects and
responsibilities will include:
- Creation of machine learning algorithms that effectively
integrate molecular, pathology image, and clinical data for
prediction and biological discovery, with an emphasis on prostate
cancer.
- Studies of non-coding and RNA-based drivers of cancer
development and treatment response.
- Studies of patient samples for tumor behavior and clinical
outcomes in the context of immunotherapy.These projects are
collaborative efforts between the Dana-Farber Cancer Institute, the
Broad Institute, and multiple other institutions. The goals of this
initiative consist of analyzing sequencing data to determine the
effects of genomic alterations and expression changes on clinical
behavior, both retrospectively and prospectively. These new data
could help identify novel approaches for personalized care in
oncology. In addition, this data may provide support for new
methods in clinical decision-making, biomarkers for rational drug
development, and new insights into tumor biology through innovative
analyses.The person hired for this position will join the team in
this effort and will participate in the design and implementation
of algorithms to analyze the data and integrate with other data
sets, including clinical outcomes data. This person will also help
with the generation of tools needed for manipulating and preparing
data for display; transferring data to external collaborators and
data repositories; and will also help maintain, support, and
document shared tools, code base, and data sets. As the software
infrastructure evolves, this position is likely to present diverse
and flexible opportunities - from deeper and more complex software
design problems to becoming more involved in the bioinformatic and
analytic aspects of predictive modeling.Minimum Requirements:
- A Ph.D. in bioinformatics, genetics, statistics, mathematical,
physical, or computer science, or comparable research experience,
together with significant experience in computer programming and
computational biological applications.
- A strong background in statistics and biology. Experience
managing and curating large datasets and with machine learning
techniques desired.
- Excellent oral and written communication skills and the ability
to perform both self-directed and guided research are
required.
- Must demonstrate outstanding personal initiative and the
ability to work effectively as part of a team.
- Ability to meet deadlines and efficiently multitask is a
must.
- Ability to effectively collaborate across a range of
individuals with different comfort toward computational biology,
including oral and written communication skills.
- Ability to seek out mentorship and assistance as needed, while
also being a mentor to other members of the community.Knowledge,
Skills, and Abilities Required:
- Cancer biology background.
- Experience in Python and/or R is preferred.
- Experience with cloud computing.
- Willingness to learn new languages and tools as the field
grows.Supervisory Responsibilities:This position will involve
co-mentoring of students joining the group as described above, with
opportunities for growth in developing multi-disciplinary teams
that are project-oriented.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.Dana-Farber Cancer Institute is an equal
opportunity employer and affirms the right of every qualified
applicant to receive consideration for employment without regard to
race, color, religion, sex, gender identity or expression, national
origin, sexual orientation, genetic information, disability, age,
ancestry, military service, protected veteran status, or other
characteristics protected by law.
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Keywords: Dana-Farber Cancer Institute, Revere , Postdoctoral Research Fellow - Van Allen Lab, Healthcare , Boston, Massachusetts
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