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Jobs
Opening
At Lilly-NUS, our mission is the conduct
of clinical pharmacology research studies. In particular, our emphasis has been
in early phase and biomarker clinical studies. Over the last 10 years, we
have focused on therapies and investigations in metabolic and neuroscience
arenas. Our location in multi-ethnic Singapore also presents us an
opportunity to study ethnicity as a factor in drug action. We now have the
opportunity for interested individuals to join us and work in an
interesting and dynamic environment.
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Position
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Project Statistician
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Work Location
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Singapore
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Closing Date
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31 Aug 2009
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Responsibilities:
The
Project Statistician develops and assists in the development of protocol
designs, clinical plans, and data analysis plans in collaboration with physicians
and medical colleagues. The Project Statistician is responsible for working
with research associates and scientists to establish a reporting database
and for analyzing data for clinical studies.
Core
Job Tasks
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Operate in collaboration with study personnel to
provide input on study protocol, design studies and write protocols for the
conduct of each study.
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Assist in and be accountable for selecting
statistical methods for data analysis, authoring the corresponding sections
of the protocol, and conducting the actual analysis once a reporting
database is created.
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Collaborate with team members to write reports and
communicate results.
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Assist with communicating study results via
regulatory submissions, manuscripts, or oral presentations in group
settings, as well as for communicating one-on-one with key customers and
presenting at scientific meetings.
Required Skills
and Attributes
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Proficient in the SAS programming language
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Excellent oral and written communication skills
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Interpersonal communication skills for effective
customer consultation
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Self-management skills with a focus on results for
timely and accurate completion of competing deliverables
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Teamwork and leadership skills
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Demonstrated problem solving ability and project
management skills
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Creativity and innovation
Required
Qualifications and Experience
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M.S., Ph.D., or equivalent experience in the field of
Statistics or Biostatistics
Candidates
with prior Clinical Research experience would be at a particular advantage.
Interested
applicants please submit your full curriculum vitae giving qualifications,
experience and personal details.
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(Only short-listed candidates will be notified)
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