Sr Associate Biostatistical Programming

India - Hyderabad

Amgen

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics.

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Career Category

Clinical

Job Description

Let’s do this. Let’s change the world. In this vital role you will collaborate with teams across multiple time zones to fulfill requests, clarify requirements, escalate issues, and deliver high-quality results. The Sr Associate Biostatistical Programming will report to a locally based Biostatistical Programming Manager.

The Sr Associate Biostatistical Programming will be responsible for hands-on programming and results delivery. Additionally, they will be responsible for manipulating large databases and generating reports to partner with epidemiologists to explore and generate RWE from real-world healthcare data assets. The ideal candidate should possess a bachelor’s degree and have at least four years of relevant career experience in statistical programming. Proficiency in SQL programming and SAS or R programming is required. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential.

Responsibilities:

  • Write, test and validate software programs in Unix and Databricks to produce analysis datasets and presentation output such as tables and figures, to be included in reports for submission to regulatory agencies, publications and other communications

  • Provide technical solutions to programming problems within CfOR

  • Lead and develop technical programming and process improvement initiatives within CfOR

  • Represent the programming function and participate in multidisciplinary project team meetings

  • Manage all programming activities, according to agreed resource and timeline plans

  • Ensure all programming activities on the project adhere to departmental standards

  • Write and/or review and approve all programming plans

  • Write and/or review and approve analysis dataset specifications

  • Review and approve key study-related documents produced by other functions, e.g. SAPs, CRF, Data Management Plan, etc.

  • Write, test, validate and execute department-, product- and protocol-level macros and utilities

  • Lead and/or participate in the development and review of CfOR policies, SOPs and other controlled documents

  • Participate in study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings

  • Participate in the recruitment of programming staff

  • Actively participate in external professional organizations, conferences and/or meetings

  • Provide input to and participate in intra-departmental and CfOR meetings

  • Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D)

  • Manage staff performance and oversee staff assignments and utilization

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.

Basic Qualifications:

  • Master’s degree and 1 to 3 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject experience OR

  • Bachelor’s degree and 3 to 5 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject experience OR

  • Diploma and 7 to 9 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject experience

Preferred Qualifications:

  • Experience in SQL, and statistical programming using SAS or R

  • Master’s degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject

  • Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model

  • Real-world evidence (RWE) generation in pharmaceutical or related research industries, or statistical programming for clinical trials

  • Strong individual contributor, proficient in developing analysis datasets, identifying data anomalies, and ensuring program accuracy

  • Global collaboration on studies to clarify and implement analyses described in Statistical Analysis Plans

  • Project fulfillment, statistical programming, issue escalation, results delivery

  • Statistical programming: SQL required; SAS or R required; Python preferred

  • Motivated to learn how to work with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV)

Key Competencies

  • Hands-on programming role

  • Expert statistical programming knowledge using SAS or R

  • Required: SAS or R

  • Required: SQL

  • Preferred: Python

  • Excellent verbal and written communication skills in English

  • Ability to have efficient exchanges with colleagues across geographical locations

  • Agile project management

  • Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare

  • OMOP common data model

  • Drug development life cycle

  • Statistics and basic epidemiology: Incidence and prevalence

  • [Required for Regulatory RWE role]: CDISC (SDTM, ADaM)

  • Scientific / technical excellence

  • Oral and written communication, documentation skills

  • Leadership

  • Innovation

  • Teamwork

  • Problem solving

  • Attention to detail

  • Learning mindset

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Big Data Jobs

Tags: Agile CDISC Computer Science Databricks Data management Economics Mathematics OMOP Pharma Python R R&D Research SAS SQL Statistics

Perks/benefits: Career development Competitive pay Conferences Health care

Region: Asia/Pacific
Country: India

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