Scientist 3

Position Details:

Our client, a world-leading Pharmaceutical Company in New Brunswick, NJ is currently looking for a Healthcare Data Scientist (PhD / DrPH) to join their expanding team.

Job Title: Healthcare Data Scientist (PhD / DrPH) / Pharma Industry

Duration: 12 months contract, extendable up to 24 months

Location: New Brunswick, NJ

Hybrid: Onsite 3 days/week

Note:

The client has the right-to-hire you as a permanent employee at any time during or after the end of the contract.

You may participate in the company group medical insurance plan

Job Description:

Scientist 3: Data Scientist

Notes about the role:

Hybrid, must be onsite 3 days a week

8 hours a day, may work earlier in the day or later in the day based on working with EMEA

1 year contract, might be able to extend, but not promised

PhD is required

Must have 3 years exp

Support across all projects

Get data survey or medical data, and do analysis on data

NO Statisticians wanted per the manager's request

Predicting health behaviors and suggesting behaviors to the world (for example suggesting lung screenings)

Train internal AI informational platform to make suggestions

Top 3 Skills:

Data Analytics (predictive modeling)

Using multiple/big datasets to generate business (ex - SCALA & SPARK)

Evidence of translating data analytics within applied healthcare setting

This role is considered a Data Scientist, not a Statistician

Description

This position on the Behavior Change Intelligence team will closely partner with other functions to provide data science expertise in service of the company and strategic customers, with a specific focus on health and data solutions.

The Data Scientist is required to ensure consistency of scientific methodologies and efficient utilization of resources.

This position will report to the Director, Behavior Science and will closely partner with other functional leaders.

Key Job Responsibilities

Analyze healthcare data, run descriptive statistics, generate prior distributions, explore relationships: Correlation, covariance, causality, structural equation modeling, and build Bayesian Influence diagrams.

Develop predictive models with Deep Learning networks, Gradient Boosting, Random Forest, SVM, LDA, decision tree, and logistic regression using both generative and discriminative algorithms.

Sub-group analysis: clustering, agglomerative clustering, graph-based clustering, and PCA analysis.

Define and develop features, selections (Ridge/Lasso), and ranking.

Standardize nominal, categorical, and numerical data to ensure data integrity.

Develop algorithms in order to achieve the desired health outcomes, and improved health behavior in Big data environment SPARK and SCALA.

Partner with scientists and business leaders to collect and organize healthcare data, and generate insights for thought leadership.

Work with project leaders to roll out algorithms and build dashboards to visualize near real-time insights for targeted audience including scientists and commercial partners.

Qualifications

Ph.D. with a minimum of three years of relevant experience within industry is required.

A focus in behavior change, social psychology, other public health-related fields, or equivalent focus in biomedical informatics as applied to health behavior is preferred.

Experience in the analysis of behavior science and/or population-based interventions to support healthcare and health outcomes is required.

Experience in developing and deploying technology-based behavior change solutions is preferred.

A passion for excellence and exceeding customer expectations is required.

Excellent internal and external customer facing skills are required.

Active listening skills, strong business acumen, and strong organizational skills are required.

Excellent oral and interpersonal communication skills are required.

An understanding of and ability to apply research and program evaluation methodology is required.

Experience working with cross-functional project teams is required.

Professional scholarly activity (e.g. conference presentations, peer-reviewed publications) is required.

An understanding of and ability to apply data science methodologies is required.

Experience with ontologies is preferred.

Primary Location:

North America-United States-New Jersey-New Brunswick; In certain cases, up to 50% of the projects supported may be based in EMEA (Europe, Middle East, and Africa), and must be able to work flexible hours to accommodate varying time zones.

Top 3 non negotiables:

Proficiency in data analytics - cluster/subgrouping, predictive modeling

Experience using multiple/big datasets to generate business insights

Evidence of translating data analytics within applied healthcare setting

Onsite requirement

Ideal background:

Data Science; Biomedical Informatics