Associate Data Scientist (Remote)

General Information
Location: Princeton, NJ, Remote
Organization: Medavante-Prophase, Inc
Job Type: Full Time - Regular
Description And Requirements
ABOUT WCG: WCG’s clinical solutions are built on a foundation of best-in-class clinical services companies. We deliver transformational solutions that stimulate growth, foster compliance, and maximize efficiency for those performing clinical trials. WCG is proud to serve individuals on the frontlines of science and medicine, and the organizations striving to develop new products and therapies to improve the quality of human health. It is our role to empower them to accelerate advancement, while ensuring the risks of progress never outweigh the value of human life.
WHY WE LOVE WCG: At WCG, our employees are our most valuable asset, and as with all our assets, we invest in them with an eye toward future success. We provide each eligible employee with a comprehensive set of benefits designed to protect their personal and financial health to help make the most of their future.
Comprehensive Benefits package - Health, Dental, Vision, Life Disability, 401k with match, and flexible spending accounts

• Flexible PTO
• Employee Assistance Programs and additional work/life resources
• Volunteer Time Off to benefit the community
• Opportunities for career development with on-the-job training, certification assistance, and continuing education reimbursement
• Referral Bonuses and Tuition Reimbursement

Expected annual base salary range: $51,500 to $72,000
JOB SUMMARY: The Associate Data Scientist works with the data science team to facilitate and manage clinical data collection for algorithm development, for clinical studies related to FDA submission, and for research and scientific communications purposes. The Associate Data Scientist will work closely with Clinical Data Scientists and assist in data collection, data management, data analysis and reporting.
EDUCATION REQUIREMENTS: Bachelor’s degree required, preferably in Computer Science, Statistics, Mathematics, Statistics, or a quantitative discipline from a recognized University or College.
Qualifications/Experience

• Experience with data visualization tools, such as Power BI, D3.js, GGplot, etc.
• Experience with machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Ability to understand and manipulate data for data mining, look at things various ways, create, debug, troubleshoot, design, and implement solutions to business challenges.
• Working experience in development with progressing experience with data analytics, market research, and/or data mining in developing feasibility and clinical trial development strategies are preferred.
• Good, applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good scripting and programming skills.
• Experience with common data science toolkits, such as Python, R, SQL. Excellence in at least one of these is desirable.
• Strong analytical abilities of presenting of complex scientific data as it relates to clinical research and market analyses.
• Some experience analyzing large data sets, applying a variety of statistical techniques such as regression, discriminant analysis, cluster analysis, and Bayesian Theory are desired.

ESSENTIAL DUTIES/RESPONSIBILITIES: To perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or ability required.

• Processing, cleansing, and verifying the integrity of data used for analysis.
• Conducts data mining of open sourced, licensed and proprietary data sources and initiates/oversees collection of data for use in development of robust strategies for clinical trials.
• Other duties as assigned by supervisor. These may, on occasion, be unrelated to the position described here.
• Supports team members developing, analyzing, interpreting and presenting of operational data in support of strategy and planning.
• Apply data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with existing and future services/products.
• Doing ad-hoc analysis and presenting results in a clear manner.
• Selecting features, building and optimizing classifiers using machine learning techniques.
• Provide day to day support of the business as required in order to efficiently and effectively model and forecast from feasibility data and other relevant information to allow for the development of evidence-based strategies for inclusion into client deliverables.
• Performance of data manipulation, data cleaning, analytics on the clinical data asset, and some interaction with the business.
• Communicating complex findings to cross functional teams in an understandable way.
• Prepare clinical trial operational predictions/forecasts with appropriate guidance from internal clinical operational experts.
• Attendance and punctuality are essential functions of the position.
• Enhancing data collection procedures to include information that is relevant for building analytic systems.
• Responsible for helping the organization discover the information hidden in vast amounts of data (open source, licensed and proprietary) and make smarter decisions to deliver excellent services and products.

Travel Requirements
☒ 0% – 5%
☐ 5% - 10%
☐ 10% - 20%
☐ 20% - 50%
☐ >50%
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is required to perform sedentary work which includes sitting for long periods of time and occasionally required to lift 25lbs (11.3 kg). Further guidance on physical activities, requirements, visual acuity, and working conditions is available in HCM.
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WCG is proud to be an equal opportunity employer – Qualified applicants will receive consideration for employment without regard to race, color, national origin or ancestry, religion or creed, sex, sexual orientation, gender identity, age, marital status, disability, genetic information, citizenship, veteran status, reprisal or any other legally recognized basis or status protected by federal, state or local law.