Director, Data and Analytics Solutions Business Partner (Clinical Research & Development)
Company: Otsuka Pharmaceutical
Location: Princeton
Posted on: June 25, 2022
Job Description:
Job SummaryThe Director, Data and Analytics Solutions Business
Partner (Clinical Research & Development) will be part of the
larger Data Technologies & Analytics Solution (DTAS) team reporting
to the Head of DTAS. The DTAS team is part of the larger Data and
Analytics (D&A) Organization at Otsuka Pharmaceuticals. This
role will have end-to-end accountability across R&D initiatives
and projects providing innovative data technology and data science
solutions to key business problems.The Director, Clinical Research
& Development Business Partner will have the responsibility to
establish effective partnerships with multiple businesses unit in
R&D division including but not limited to Global Clinical
Development, Clinical Analytics, Pharmacovigilance, Global Quality.
The role will entail identifying business challenges and
opportunities. Additional to identifying and solving for existing
business challenges the role requires to pioneer novel approaches
and drive the operational change when appropriate. Through a deep
understanding of all verticals in Clinical R&D and keeping a
close lens on the external landscape the Director, Clinical
Research & Development Business Partner, in partnership with key
stakeholders and business leaders, will develop the roadmap for
their data technology, data science and digital transformation
needs.To deliver against the R&D portfolio, the Director,
Clinical Research & Development Business Partner will provide
oversight and guidance across multiple teams of data scientists,
data engineers, architects, and other roles with responsibility for
delivering DTAS capabilities in an integrated manner. In support of
Otsuka's Clinical goals, when appropriate, the cross-skilled team
will: develop and apply advanced analytical methods inclusive of
AI/ML to evaluate and monitor indicators of performance, quality,
and risks; and modernize the delivery of data/information in
user-friendly formats/visualizations and provide insights for
measurable business impact.This position will become a driving
force of change, partnership, quality, and delivery across the
R&D portfolio.Job Description
- Enables DTAS team's development of business cases, inclusive of
ROI, designed to bring modern approaches forward and advocate for
new data tools and technologies that will position the R&D
business teams to deliver with fit-for-purpose or industry-leading
analytics solutions when appropriate.
- Work with the stakeholders to ensure proof of concept and the
end-product delivery against the vision.
- Partner with appropriate IT, business teams and other DTAS
members to evaluate and establish an ML Ops and Data engineering
platform to operationalize and maintain proof of concept ML
algorithms and predictive analytics platforms
- Enable the R&D business teams to build and maintain an
AI/ML based Decision Engine to monitor risks to clinical
trials.
- Work with the R&D business teams to optimize their
workflows for efficiency by pitching innovative solutions and
obtain buy-in, in collaboration with D&A teams and IT partners
as is appropriate.
- Accountable to awareness and exploration of external landscape
and emerging technologies and trends in partnership with D&A
and IT stakeholders.
- Works with stakeholders and business partners to prioritize
across the R&D portfolio.
- Works with DTAS functional heads to inform their management of
resources across portfolios that may have competing
priorities.
- Support stakeholders in removing roadblocks and enabling
project team. Ability to develop and drive implementation of plans
within budgets and timelines.
- Responsible for developing and maintaining strong relationships
within D&A and other functions as well as with external
partners.
- Effectively communicates in a remote/virtual environment;
Communicates in an open, balanced, and objective manner.
- Demonstrates flexibility and approaches process changes,
technology, and new responsibilities with an open curious
mind.
- Models positive behaviors such as re-examining how things are
done and challenging assumptions about what is possible.
- Demonstrates a balance of innovation and curiosity with
discipline and structure. Is a champion of value-add change and
evolution.
- Balances a focus on both, execution methods as well as
outcomes.
- Works creatively within predefined standards.
Qualifications/ Required
- Minimum 5+ years of leadership/management (matrix or line)
experience is required
- Minimum 8+ years in a pharma/life sciences organization with
exposure to Clinical Trials with demonstrated domain expertise
- Prior experience of process and data involved in running
clinical trial involving EDC systems, Safety labs, Subject
Enrollment, and other relevant functions.
- Prior experience working with data standards (CDISC, SDTM,
ADaM) involved in clinical trial
- Prior experience in handling regulatory requirements around
systems that are used to capture, analyze, and submit clinical
trial data
- Experience effectively managing cross-functional partnerships
up to senior levels of an organization
- Experience building business cases with associated ROI
calculations
- Effective communication of complex and technical concepts to a
non-technical audience
- Proven ability to manage multiple projects and be accountable
for individual & team results
- Ability to build relationships, collaborate and influence
across other functional teams in the organization
- Bachelor's degree in Business, Marketing, Statistics, Computer
science, Mathematics, Economics, or related field; graduate degree
preferred.
- Appropriate understanding of computing and programming using
statistical packages to clean, prep and analyze internal and third
part data (i.e. SAS, R, Excel, SQL)
- Background in variety of statistical and machine learning
techniques and algorithms including regression
(Liner/Non-Linear/Logistic), Factor Analysis, Binary Tree, Random
Forest, Gradient Boost etc.
- Experience with the application of statistical estimation
techniques and / or optimization techniques#MS1
Keywords: Otsuka Pharmaceutical, Trenton , Director, Data and Analytics Solutions Business Partner (Clinical Research & Development), Healthcare , Princeton, New Jersey
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