Senior Data Scientist Clinical Analytics Hybrid
Senior Data Scientist Clinical Analytics Hybrid
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1 Vacancy
Job Description
Purpose: The selected candidate will join a team of data scientists and data engineers with a unique blend of scientific technical and machinelearning expertise who seek to:
Optimize the quality efficiency and depth of insight generation from clinical biomarker data to support faster datadriven decisionmaking and to empower Precision Medicine Scientists in the future strategic planning for our assets
Unleash the full potential of internal and external/realworld biomarker data sources by facilitating deep exploration and analysis of complex biomarker data via fitforpurpose data analytics solutions
Implement innovative bioinformatic approaches and machinelearning techniques to advance our understanding of patient heterogeneity and disease pathogenesis
Responsibilities:
Connects with crossfunctional teams to design products and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions
Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized
In addition to standard statistical methods develops prototypes test methods and algorithms. Leverages emerging statistical methodologies ML and AI to drive innovative analytical solutions to create insights
Enables datadriven insights to support clinical development continuum including precision medicine; Responsible for coaching and mentoring junior team members.
Ensures adherence to federal regulations and applicable local regulations Good Clinical Practices (GCPs) ICH Guidelines AbbVie Standard Operating Procedures (SOPs) and to functional quality standards. Stays abreast of new and/or evolving local regulations guidelines and policies related to clinical development
Work side by side with crossfunctional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials as well as facilitate discussions around emerging risks; Applies machinelearning techniques to validate assumptions and predict future behavior
Drive the definition design implementation and validation of cuttingedge algorithms to analyze disparate data sources to achieve targeted outcomes by leveraging machinelearning and Artificial Intelligence approaches predictive and statistical modeling concepts clustering and classification techniques
Ensures consistent analytics support to the AbbVie Clinical Trial and Precision Medicine portfolio through effective resource management prioritization and timeline management
Reviews landscape for new technologies and methodologies that can support the utilization of clinical data multiomics data and realworld data. Identifies use cases that are appropriate for the application of artificial intelligence
Collaborates across R&D functional areas to link data and key learnings for broad impact on complex crossfunctional projects involving multiple scientific and/or clinical discipline and Advanced Analytics methodologies. Capable of translating complex data science findings to broad audiences
Qualifications :
Masters degree in statistics analytics bioinformatics data science or equivalent. Ph.D. degree preferred
Must have 35 years of analyticsrelated experience in clinical research including demonstrated highlevel analytics and leadership competencies.
Advanced careerlevel proficiency in R Python or other statistical packages. Intermediatelevel knowledge of statistical and data mining techniques
Proven expertise in machinelearning and other advanced analytics techniques
Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in laymans terms
Demonstrated problemsolving and analytical skills
Demonstrated history of successful execution in a fastpaced environment and in managing multiple priorities effectively
Experience working in Cloud Computing environments (e.g. AWS Azure etc) is preferred
Experience in handson analysis of OMICS data optimally including genomics data analysis plus two other OMICS technologies is preferred. Experience in basic Immunology research and/or drug discovery is a plus
*This position will be required to sit onsite 3 days / week*
Additional Information :
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation holidays sick) medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our shortterm incentive programs.
This job is eligible to participate in our longterm incentive programs
Note: No amount of pay is considered to be wages or compensation until such amount is earned vested and determinable. The amount and availability of any bonus commission incentive benefits or any other form of compensation and benefits that are allocable to a particular employee remains in the Companys sole and absolute discretion unless and until paid and may be modified at the Companys sole and absolute discretion consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity driving innovation transforming lives serving our community and embracing diversity and inclusion. It is AbbVies policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race color religion national origin age sex (including pregnancy) physical or mental disability medical condition genetic information gender identity or expression sexual orientation marital status status as a protected veteran or any other legally protected group status.
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Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
