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Offer: Senior Manager - Statistics:

Job description:

Job Description

Dear Candidate,

Greetings of the day!

We are Hiring for,  Senior Manager - Statistics
The functions and responsibilities of the Senior Manager Statistics include the following:
Ensuring that the data received support the analytic solutions that are being developed by the company , including dependent and independent variables
Being instrumental in defining and coding new variables as possible incremental predictors
Working closely with different teams to interpret model results and transform those results into actionable recommendations
Adhering to compliance procedures and internal / operational risk controls in conformity with any and all applicable regulatory standards , requirements , and policies
expected Skills and practice:
Education BSc / MSc (any discipline)
practice 5 - 8 years of significant practice , with minimum 5 - 7 years of practice in predictive analytics
Should be adept to use analytical tools and techniques
expertise of healthcare industry is an added benefit
SAS modeling skills (including multivariate analytics , logistic regression , etc)
practice of working with large datasets
Interest in new analytic processes such as machine learning
Should be a self - starter and capable of operating on minimal management oversight
capability to work under pressure to meet agreed deadlines
Passion , energy , and enthusiasm to drive results
Passion to design artistically and a keen interest to lgain new concepts and technologies
Regards,
HR Team

Other details
» Department: Statistics / Analytics Statistics / Analytics
» Business Sector: Information technology - Software Information technology - Software
» Special Skills: coding,  coding, sas,  sas, analytical,  analytical, selection,  selection, healthcare,  healthcare, learning,  learning, regression,  regression, risk,  risk, process,  process, operations,  operations, technology,  technology, analytics analytics
» Other Special Skills: operational,  operational,  predictive,  predictive,  machine,  machine,  logistic logistic
 
Recruiter details
»Employer's name Indegene Private Limited
»Company Description:

Indegene is a specialized healthcare solutions company with a unique blend of life sciences domain skills and state-of-the-art technological capabilities. Headquartered in Bengaluru, with offices across the world, Indegene is a partner to most of the world’s Top 25 pharma companies, helping transform their commercial and medical operations. Indegene has a strong and established business providing full spectrum of business solutions for clinical, regulatory, safety, and medical affairs of life sciences (pharmaceutical, devices, and biotech) companies worldwide from early drug development to mature products. Much like the commercial space, the R&D/medical side of pharma/life sciences is undergoing transformation at a variable pace across the industry. Medical organizations are increasingly looking to drive efficiencies and productivities in almost all areas of traditional work streams that are human/capital time intensive while retaining high compliance to regulatory requirements. Indegene has always been known for its strong domain skills and is now driving for differentiated results (reduced time-to-agency, enhanced productivities and efficiencies, and higher accuracy and compliance) by disrupting the status quo in contextualizing contemporary modern technologies (AI, ML, NLP) for life sciences by leveraging this skills.

Operations: With over 11 offices across the globe in the US, UK, China, Canada, Singapore, Ireland, and India, Indegene can partner globally with clients; leverage a global talent pool consisting of clinicians, technologists, creative specialists, domain experts, and business process specialists; deploy global infrastructure assets; and harness global healthcare expertise to deal with client challenges
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Employment type:
Salary: Unspecified
Degree: Unspecified
Experience (year): Unspecified
Job Location: Bangalore, Karnataka
Company Type Employer
Post Date: 04/09/2024 / Viewed 47 times
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