VetJobs
Principal Scientist - Cambridge Crossing, MA
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Principal Scientist - Cambridge Crossing, MA
role at
VetJobs
ATTENTION MILITARY AFFILIATED JOB SEEKERS
- Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post.
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.
We seek a creative and passionate computational scientist to join the Neuroscience, Immunology, and Cardiovascular (NIC) discovery team within Informatics and Predictive Sciences, a globally distributed group driving innovative computational research for discovery and early development. In this role, you will apply your analytical skills to single cell, multi-omics, spatial profiling as well as gene perturbation datasets generated from both patients and model organisms. You will work as part of a cross-functional team focused on Neuroscience, Immunology and Cardiovascular early pipeline programs. In so doing, you will contribute to the discovery of targets and compounds that directly address unmet medical need in patients within NIC space especially those with neurodegenerative diseases.
Location: Cambridge, MA
Auto req ID: 460523BR
Responsibilities
Perform computational research on high-dimensional readouts from perturbation experiments/screens (e.g. CRISPR screens, perturb-seq, cellular imaging)
Apply machine learning, and other advanced computational approaches, to compare high-dimensional experimental readouts to disease states defined by patient data (including transcriptomics, proteomics, single cell omics, and imaging)
Work as part of a cross-functional team that will nominate and validate new targets for neurodegeneration and neuropsychiatry
Work with external partners in industry, academia, and pre-competitive collaborations (e.g. NIH Accelerating Medicines Partnership) on novel computational and experimental approaches
Communicate findings and recommend follow-up actions in multiple settings (including 1:1, seminars, and team meetings)
Basic Qualifications
Bachelor's Degree 8+ years of academic / industry experience
Master's Degree 6+ years of academic / industry experience
PhD 4+ years of academic / industry experience
Preferred Qualifications
PhD from a recognized institution in a quantitative field such as computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline and 5+ years of post-graduate experience
Advanced hands-on knowledge of at least one high-level programming language such as R or Python for computational research and reproducible research practices
5+ years of post-graduate experience in computational biology research (biopharma industry preferred) with track record (such as scientific publications) in driving and advancing research projects/programs with computational approaches
Hands on experience analyzing and integrating high-dimensional molecular datasets such as multi-omics (RNA‑seq, ATAC‑seq, proteomics, ChIP‑seq/CUT&RUN), single cell (CITE‑seq, scATAC‑seq, perturb‑seq) and spatial profiling (Visium, GeoMx, CosMX)
Experience implementing and/or developing statistical methodologies and machine learning algorithms applied to the biological problems
Background in Neuroscience, especially in neuro-degenerative diseases strongly preferred
Experience applying computer vision models to cellular imaging data preferred
Scientific curiosity with an ability of self-learning
Strong oral and written communication skills
Compensation Overview Cambridge Crossing: $166,770 - $202,086. The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
City: Cambridge Crossing State: Massachusetts
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Principal Scientist - Cambridge Crossing, MA
role at
VetJobs
ATTENTION MILITARY AFFILIATED JOB SEEKERS
- Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post.
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.
We seek a creative and passionate computational scientist to join the Neuroscience, Immunology, and Cardiovascular (NIC) discovery team within Informatics and Predictive Sciences, a globally distributed group driving innovative computational research for discovery and early development. In this role, you will apply your analytical skills to single cell, multi-omics, spatial profiling as well as gene perturbation datasets generated from both patients and model organisms. You will work as part of a cross-functional team focused on Neuroscience, Immunology and Cardiovascular early pipeline programs. In so doing, you will contribute to the discovery of targets and compounds that directly address unmet medical need in patients within NIC space especially those with neurodegenerative diseases.
Location: Cambridge, MA
Auto req ID: 460523BR
Responsibilities
Perform computational research on high-dimensional readouts from perturbation experiments/screens (e.g. CRISPR screens, perturb-seq, cellular imaging)
Apply machine learning, and other advanced computational approaches, to compare high-dimensional experimental readouts to disease states defined by patient data (including transcriptomics, proteomics, single cell omics, and imaging)
Work as part of a cross-functional team that will nominate and validate new targets for neurodegeneration and neuropsychiatry
Work with external partners in industry, academia, and pre-competitive collaborations (e.g. NIH Accelerating Medicines Partnership) on novel computational and experimental approaches
Communicate findings and recommend follow-up actions in multiple settings (including 1:1, seminars, and team meetings)
Basic Qualifications
Bachelor's Degree 8+ years of academic / industry experience
Master's Degree 6+ years of academic / industry experience
PhD 4+ years of academic / industry experience
Preferred Qualifications
PhD from a recognized institution in a quantitative field such as computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline and 5+ years of post-graduate experience
Advanced hands-on knowledge of at least one high-level programming language such as R or Python for computational research and reproducible research practices
5+ years of post-graduate experience in computational biology research (biopharma industry preferred) with track record (such as scientific publications) in driving and advancing research projects/programs with computational approaches
Hands on experience analyzing and integrating high-dimensional molecular datasets such as multi-omics (RNA‑seq, ATAC‑seq, proteomics, ChIP‑seq/CUT&RUN), single cell (CITE‑seq, scATAC‑seq, perturb‑seq) and spatial profiling (Visium, GeoMx, CosMX)
Experience implementing and/or developing statistical methodologies and machine learning algorithms applied to the biological problems
Background in Neuroscience, especially in neuro-degenerative diseases strongly preferred
Experience applying computer vision models to cellular imaging data preferred
Scientific curiosity with an ability of self-learning
Strong oral and written communication skills
Compensation Overview Cambridge Crossing: $166,770 - $202,086. The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
City: Cambridge Crossing State: Massachusetts
#J-18808-Ljbffr