Bristol-Myers Squibb
Senior Scientist - Heme/Onc - Translational IPS
Bristol-Myers Squibb, Summit, New Jersey, us, 07902
Senior Scientist - Heme/Onc - Translational IPSApply
Locations:Summit West - NJ - USPrinceton - NJ - USCambridge Crossing - MA - US
Time Type:
Full time
Posted On:
Posted 30+ Days Ago
Job Requisition ID:
R1585182
Working with UsChallenging. 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 rich in diversity. 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.
When you join BMS, you are joining a diverse, high-achieving team united by a common mission.
The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning—across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company. We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines.
We seek a talented, collaborative inter-disciplinary computational scientist to work on the analysis, statistical modeling and generation of hypotheses from high-dimensional molecular profiling data. This individual will play a key scientific role leveraging innovative computational analysis strategies and rich patient data to empower data-driven decisions alongside BMS colleagues in our Informatics & Predictive Sciences department and in collaboration with internal partners in drug discovery and translational medicine research teams.
Analysis scenarios will involve applying cutting-edge bioinformatics, statistics, and machine learning/AI methods; working with clinical and large-scale omics data and biomarker data sets that could include WGS/WES, RNA-Seq, scRNA-Seq, IHC, Spatial Transcriptomics, etc; from BMS’s industrial-leading late-stage oncology clinical studies; influencing development strategies and advancing BMS hematology/oncology pipeline. This position offers the exciting opportunity to make major contributions to scientific knowledge of cancer disease biology, and to directly impact treatment of cancer patients.
The position would suit an individual with strong computational capabilities, experience in hematology/oncology bioinformatics and excellent communication and collaboration skills. Applications are encouraged from those involved in innovative translational research for hematology and/or solid tumor indications in clinical or industrial research environments.
Responsibilities
Apply computational methods to molecular profiling datasets and develop hypotheses to stratify patients and prioritize indications, guiding clinical oncology development and reverse translation.
Perform analysis of clinical and biomarker datasets (e.g., large-scale -omics datasets including RNASeq, and Whole Exome/Genome Sequencing) and derive clinically meaningful interpretations.
Identify potential biomarkers for patient enrichment strategies and gain mechanistic insights of responses and resistances to treatments of interest.
Drive in-depth analysis of stratified patient data to elucidate biological and driver mechanisms in key oncology indications (integrating multiple omics datasets, including scRNAseq).
Work with colleagues in the Informatics & Predictive Sciences group to identify drivers of disease heterogeneity and potential therapeutic targets for patients in unmet need.
Collaborate with experimental teams in the iterative validation of therapeutic and mechanistic therapeutic hypotheses.
Summarize analysis results and report conclusions to BMS decision-making bodies.
Basic Qualifications:
Bachelor's Degree 7+ years of academic / industry experience
Or Master's Degree 5+ years of academic / industry experience
Or PhD 2+ years of academic / industry experience
Preferred Qualifications:
Ph.D. or M.S. with 2+ years of experience in computational biology, bioinformatics, statistics or related fields. Experience in biotech or pharmaceutical industries is a plus.
Strong experience in the use of a high-level programming language such as R, MATLAB, Python or Perl for complex data analysis and reproducible research practices is a must.
Substantial experience working with Next Generation Sequencing datasets, including RNAseq, scRNAseq, Whole-Genome, Whole-Exome Sequencing and ChipSeq.
Familiarity with contemporary cloud and high-performance computing environments.
Expertise in application of contemporary machine-learning/AI approaches.
Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects while conforming with rigorous requirements of clinical studies.
Strong problem-solving and collaboration skills, rigorous and creative thinking.
Excellent communication, data presentation, and visualization skills.
Fluent written and verbal English language communication.
The starting compensation for this job is a range from $109,000 - 150,700, plus incentive cash and stock opportunities (based on eligibility).
Benefit offerings are subject to the terms and conditions of the applicable plans then in effect.
If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway.
Uniquely Interesting Work, Life-changing CareersWith a single vision as inspiring as “Transforming patients’ lives through science,” every BMS employee plays an integral role in work that goes far beyond ordinary.
On-site Protocol
BMS has a diverse occupancy structure that determines where an employee is required to conduct their work.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities.
#J-18808-Ljbffr
Locations:Summit West - NJ - USPrinceton - NJ - USCambridge Crossing - MA - US
Time Type:
Full time
Posted On:
Posted 30+ Days Ago
Job Requisition ID:
R1585182
Working with UsChallenging. 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 rich in diversity. 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.
When you join BMS, you are joining a diverse, high-achieving team united by a common mission.
The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning—across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company. We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines.
We seek a talented, collaborative inter-disciplinary computational scientist to work on the analysis, statistical modeling and generation of hypotheses from high-dimensional molecular profiling data. This individual will play a key scientific role leveraging innovative computational analysis strategies and rich patient data to empower data-driven decisions alongside BMS colleagues in our Informatics & Predictive Sciences department and in collaboration with internal partners in drug discovery and translational medicine research teams.
Analysis scenarios will involve applying cutting-edge bioinformatics, statistics, and machine learning/AI methods; working with clinical and large-scale omics data and biomarker data sets that could include WGS/WES, RNA-Seq, scRNA-Seq, IHC, Spatial Transcriptomics, etc; from BMS’s industrial-leading late-stage oncology clinical studies; influencing development strategies and advancing BMS hematology/oncology pipeline. This position offers the exciting opportunity to make major contributions to scientific knowledge of cancer disease biology, and to directly impact treatment of cancer patients.
The position would suit an individual with strong computational capabilities, experience in hematology/oncology bioinformatics and excellent communication and collaboration skills. Applications are encouraged from those involved in innovative translational research for hematology and/or solid tumor indications in clinical or industrial research environments.
Responsibilities
Apply computational methods to molecular profiling datasets and develop hypotheses to stratify patients and prioritize indications, guiding clinical oncology development and reverse translation.
Perform analysis of clinical and biomarker datasets (e.g., large-scale -omics datasets including RNASeq, and Whole Exome/Genome Sequencing) and derive clinically meaningful interpretations.
Identify potential biomarkers for patient enrichment strategies and gain mechanistic insights of responses and resistances to treatments of interest.
Drive in-depth analysis of stratified patient data to elucidate biological and driver mechanisms in key oncology indications (integrating multiple omics datasets, including scRNAseq).
Work with colleagues in the Informatics & Predictive Sciences group to identify drivers of disease heterogeneity and potential therapeutic targets for patients in unmet need.
Collaborate with experimental teams in the iterative validation of therapeutic and mechanistic therapeutic hypotheses.
Summarize analysis results and report conclusions to BMS decision-making bodies.
Basic Qualifications:
Bachelor's Degree 7+ years of academic / industry experience
Or Master's Degree 5+ years of academic / industry experience
Or PhD 2+ years of academic / industry experience
Preferred Qualifications:
Ph.D. or M.S. with 2+ years of experience in computational biology, bioinformatics, statistics or related fields. Experience in biotech or pharmaceutical industries is a plus.
Strong experience in the use of a high-level programming language such as R, MATLAB, Python or Perl for complex data analysis and reproducible research practices is a must.
Substantial experience working with Next Generation Sequencing datasets, including RNAseq, scRNAseq, Whole-Genome, Whole-Exome Sequencing and ChipSeq.
Familiarity with contemporary cloud and high-performance computing environments.
Expertise in application of contemporary machine-learning/AI approaches.
Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects while conforming with rigorous requirements of clinical studies.
Strong problem-solving and collaboration skills, rigorous and creative thinking.
Excellent communication, data presentation, and visualization skills.
Fluent written and verbal English language communication.
The starting compensation for this job is a range from $109,000 - 150,700, plus incentive cash and stock opportunities (based on eligibility).
Benefit offerings are subject to the terms and conditions of the applicable plans then in effect.
If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway.
Uniquely Interesting Work, Life-changing CareersWith a single vision as inspiring as “Transforming patients’ lives through science,” every BMS employee plays an integral role in work that goes far beyond ordinary.
On-site Protocol
BMS has a diverse occupancy structure that determines where an employee is required to conduct their work.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities.
#J-18808-Ljbffr