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Statistical Project Leader

Sanofi US Services Inc.

Morristown, NJFull-time$149–248K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$149–248K/yr
Location
Morristown, NJ
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

Sanofi US Services Inc. seeks a Statistical Project Leader to lead research on innovative design and decision-making approaches using advanced statistical methods or machine learning. The role is accountable for predictive modeling, statistical simulations, and development of tools for novel methodology, and provides statistical consultation across therapeutic areas. It also leads EGDS contributions to project deliverables and guides protocols, statistical analysis plans, and agency briefing books.

Skills & qualifications

RequiredNice to have

Skills

Advanced Statistical MethodsMachine LearningPredictive ModelingStatistical SimulationsNovel Methodology DevelopmentStatistical ConsultationProtocol DevelopmentStatistical Analysis PlansAgency Briefing Books

Qualifications

5 Years ExperienceDoctorate

Full job description

Experience Required

5 years

Minimum Education Required

Doctorate

Compensation

$148,500.00 - $247,500.00 / Yearly

Hours Per Week

40

Number Of Positions

1

Shift

First Shift (Day)

Job Description

Sanofi US Services Inc. located in Morristown, NJ is seeking a Statistical Project Leader, who will lead research on innovative design and decision-making approaches integrating advanced statistical methods or machine learning techniques; be accountable for predictive modeling, statistical simulations, and/or leading development of tools for novel methodology; provide statistical consultation on technical issues arising from projects and studies across multiple therapeutic areas; lead EGDS (Evidence Generation & Decision Science) contributions to project statistical deliverables related to methodology and/or modeling and simulations; and provide guidance on deliverables for protocols, statistical analysis plans, and agency briefing books. To apply: send resume, cover letter, & salary requirements to: [email protected] (ref 2056). EOE, no agencies please.

Place of Work

On-site

Requisition ID

ref 2056

Job Type

Full Time

Application Email

[email protected]

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