Principal Scientist
Bristol-Myers Squibb
Principal Scientist
Job Description
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) Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Bachelor's Degree 8+ years of academic / industry experience Or Master's Degree 6+ years of academic / industry experience Or PhD 4+ years of academic / industry experience 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
Key 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 to 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)
Required Qualifications
- Bachelor's Degree with 8+ years of academic/industry experience
- Master's Degree with 6+ years of academic/industry experience
- PhD with 4+ years of academic/industry experience
- PhD from a recognized institution in a quantitative field such as computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline
- + 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
- + years of post-graduate experience in computational biology research with a track record 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 biological problems
Preferred Qualifications
- Biopharma industry experience preferred
- Background in Neuroscience, especially in neuro-degenerative diseases strongly preferred
- Experience applying computer vision models to cellular imaging data preferred
Skills Required
- Scientific curiosity with an ability for self-learning
- Strong oral and written communication skills
Benefits & Perks
- Paid national holidays and optional holidays
- Global Shutdown Days between Christmas and New Year's holiday
- Up to 120 hours of paid vacation
- Up to two (2) paid days to volunteer
- Sick time off
- Summer hours flexibility
Locations
- Cambridge Crossing MA, United States
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
150,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Scientific curiosity with an ability for self-learningintermediate
- Strong oral and written communication skillsintermediate
Required Qualifications
- Bachelor's Degree with 8+ years of academic/industry experience (experience)
- Master's Degree with 6+ years of academic/industry experience (experience)
- PhD with 4+ years of academic/industry experience (experience)
- PhD from a recognized institution in a quantitative field such as computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline (experience)
- + years of post-graduate experience (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 (experience)
- + years of post-graduate experience in computational biology research with a track record in driving and advancing research projects/programs with computational approaches (experience)
- 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)
- Experience implementing and/or developing statistical methodologies and machine learning algorithms applied to biological problems (experience)
Preferred Qualifications
- Biopharma industry experience preferred (experience)
- Background in Neuroscience, especially in neuro-degenerative diseases strongly preferred (experience)
- Experience applying computer vision models to cellular imaging data preferred (experience)
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 to 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)
Benefits
- general: Paid national holidays and optional holidays
- general: Global Shutdown Days between Christmas and New Year's holiday
- general: Up to 120 hours of paid vacation
- general: Up to two (2) paid days to volunteer
- general: Sick time off
- general: Summer hours flexibility
Tags & Categories
Principal Scientist
Bristol-Myers Squibb
Principal Scientist
Job Description
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) Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Bachelor's Degree 8+ years of academic / industry experience Or Master's Degree 6+ years of academic / industry experience Or PhD 4+ years of academic / industry experience 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
Key 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 to 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)
Required Qualifications
- Bachelor's Degree with 8+ years of academic/industry experience
- Master's Degree with 6+ years of academic/industry experience
- PhD with 4+ years of academic/industry experience
- PhD from a recognized institution in a quantitative field such as computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline
- + 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
- + years of post-graduate experience in computational biology research with a track record 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 biological problems
Preferred Qualifications
- Biopharma industry experience preferred
- Background in Neuroscience, especially in neuro-degenerative diseases strongly preferred
- Experience applying computer vision models to cellular imaging data preferred
Skills Required
- Scientific curiosity with an ability for self-learning
- Strong oral and written communication skills
Benefits & Perks
- Paid national holidays and optional holidays
- Global Shutdown Days between Christmas and New Year's holiday
- Up to 120 hours of paid vacation
- Up to two (2) paid days to volunteer
- Sick time off
- Summer hours flexibility
Locations
- Cambridge Crossing MA, United States
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
150,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Scientific curiosity with an ability for self-learningintermediate
- Strong oral and written communication skillsintermediate
Required Qualifications
- Bachelor's Degree with 8+ years of academic/industry experience (experience)
- Master's Degree with 6+ years of academic/industry experience (experience)
- PhD with 4+ years of academic/industry experience (experience)
- PhD from a recognized institution in a quantitative field such as computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline (experience)
- + years of post-graduate experience (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 (experience)
- + years of post-graduate experience in computational biology research with a track record in driving and advancing research projects/programs with computational approaches (experience)
- 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)
- Experience implementing and/or developing statistical methodologies and machine learning algorithms applied to biological problems (experience)
Preferred Qualifications
- Biopharma industry experience preferred (experience)
- Background in Neuroscience, especially in neuro-degenerative diseases strongly preferred (experience)
- Experience applying computer vision models to cellular imaging data preferred (experience)
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 to 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)
Benefits
- general: Paid national holidays and optional holidays
- general: Global Shutdown Days between Christmas and New Year's holiday
- general: Up to 120 hours of paid vacation
- general: Up to two (2) paid days to volunteer
- general: Sick time off
- general: Summer hours flexibility
Tags & Categories