Programmer/Sr Programmer Analyst

ThermoFisher Scientific; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Thermo Fisher Scientific in Mumbai seeks a Senior Programmer Analyst to perform advanced bioinformatics programming for statistical and computational aspects of research projects. The role includes leading select studies, guiding junior staff, and training others.

You will develop and validate SAS programs and support data integration across multiple systems. You will work in a second-shiftAfternoons schedule, with occasional travel to site locations, contributing to trial analyses and reporting

Qualifications

• MS/MA degree and at least 3 years of relevant experience.
• Bachelor's degree or equivalent with at least 5 years of relevant experience.

Responsibilities

• Lead programmer on studies of moderate complexity, coordinating with project leaders and clients to set goals and timelines.
• Collaborate with a multidisciplinary clinical trials team and communicate with team members regularly.
• Develop, run, maintain, and validate programs that transfer data across data management systems.

Skills

Leadership

SAS

Python

R

SQL

Tableau

Power BI

Spotfire

R Shiny

Relational databases

Communication

Mentoring

Education

MS/MA in CS/Statistics/Biostatistics/Math

Bachelor's in CS/Statistics/Biostatistics/Math

Tools

Spotfire

Tableau

Power BI

R Shiny

Python

R

SQL

Snowflake

Job description

Work Schedule

Second Shift (Afternoons)

Environmental Conditions

Office

Job Description

Join Us as a Senior Programmer Analyst

Make an Impact at the Forefront of Innovation

The Senior Programmer Analyst performs advanced bioinformatics programming activities for the statistical and computational considerations of research projects. Additionally, Senior Programmer Analyst works independently in a lead programmer role on select moderately complex studies or may serve as a study team member under the direction of a lead programmer on more complex studies. The role involves providing training and guidance to junior team members.

What You'll Do

• Act as the lead programmer on selected studies of moderate complexity, working directly with project team leaders and client representatives to assess and develop project goals and timelines.
• Assume leadership responsibility as a contributing member of a multidisciplinary clinical trials project team, communicating actively and frequently with other team members as needed.
• Independently create, execute, maintain, and validate programs that:
• Transfer data across multiple data management systems or operating systems.
• Combine data from a variety of sources and structures.
• Generate and store summary data from a variety of sources.
• Generate reports or combine multiple databases.
• Validate programs that generate listings, tables, and figures using SAS.
• Manage and document assignments to meet timelines and deliver high quality work, being familiar with any relevant contractual obligations or limits.
• Increase knowledge base and professional skills in areas including programming technology and techniques, clinical trials, and the pharmaceutical industry.
• Provide training and guidance to junior team members.
• Provide general infrastructure support to the department, including:
• Representing the company at industry conferences.
• Presenting/teaching at department meetings.
• Assisting in establishing training materials.
• Contributing to other general department documents or policies, such as the development of departmental working practice documents and SOPs.
• Provide support to the bidding process as requested.

Education & Experience Requirements

• MS/MA degree in computer science, statistics, biostatistics, mathematics, or related field and at least 3 years of experience that provides the knowledge, skills, and abilities to perform the job requirements.

OR

• Bachelor's degree in computer science, statistics, biostatistics, mathematics, or related field, or equivalent and relevant formal academic/vocational qualification.
• At least 5 years of experience that provides the knowledge, skills, and abilities to perform the job requirements.

Preferred Qualifications

• Experience supporting Centralized Monitoring, Risk-Based Quality Management (RBQM), or clinical data analytics in clinical trials.
• Experience with data visualization tools such as Spotfire, Tableau, Power BI, or R Shiny.
• Experience with Python, R, SQL, Snowflake, or other data integration and analytics technologies.

Knowledge, Skills & Abilities

• Solid understanding of one or more programming languages.
• Solid attention to detail.
• Comprehensive problem-solving and innovative skills.
• Solid written and verbal communication skills to effectively interface with teams and clients, including proficiency in the English language.
• Capable of independently and effectively organizing and managing multiple assignments with challenging timelines.
• Capable of adapting and adjusting to changing priorities.
• Demonstrated positive attitude, enthusiasm toward work, and the ability to work well with others.
• Demonstrated leadership, initiative, and motivation.
• Strong understanding of relational database structure and complex data systems.
• Capable of training and mentoring others.
• Capable of effectively capturing biostatistical metrics.
• Capable of providing quality control review for statistical programming.

Working Conditions and Environment

• Work is performed in an office environment with exposure to electrical office equipment.
• Occasional drives to site locations with occasional travel, both domestic and international.

Why Join Us?

When you join Thermo Fisher Scientific, you become part of a global team that values passion, innovation, and a commitment to scientific excellence. You'll work in an environment where collaboration and development are part of the everyday experience—and where your contributions truly make a difference.

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.