Senior Associate Bioinformatics Scientist

Posted 7 Hours Ago
Be an Early Applicant
7 Locations
In-Office or Remote
Senior level
Pharmaceutical
The Role
Supports quantitative bioinformatics analysis, pipeline execution, data and results quality control, visualization maintenance, cross-study data integration, and experiment preparation. Develops and optimizes open-source code and AI-assisted workflows using R, Python, Bash, Git, R Shiny, RMarkdown, and Quarto. The role executes defined analytical requests within established frameworks, documents results, validates outputs, and escalates issues requiring advanced scientific interpretation.
Summary Generated by Built In

When our values align, there's no limit to what we can achieve.
 
At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

Parexel is looking for a Senior Associate Bioinformatics Scientist to work with one of our large sponsors. The role is remote based but you must live and have the right to work in one of the following EMEA countries only:

United Kingdom

Germany

France

Spain

Romania

Serbia

Lithuania

Poland

The Senior Associate Bioinformatics Scientist will fulfill a quantitative bioinformatics role that supports analysis, data operations/QC, visualization tools, pipeline automation and cross-study data integration support. The role involves the execution of well defined requests such as figure/analysis iterations, running QC data analysis, maintaining data and results viewers, and possible AI assisted analysis code development. The role works within existing analysis plans and technical frameworks, and escalates anything that needs advance scientific interpretation and presentation.

Job Responsibilities
 

Data Analysis

  • Figure and analysis updates: Support adhoc requests and updates to analyses and outputs such as figures with different splits/subsets, labels, groupings, color palettes, and formatting while preserving the underlying statistical results.

  • Pipeline execution: run and optimize automated processing pipelines, perform routine QC on outputs, and document run parameters, versions, and any deviations.

  • Data QC / results QC: execute QC checks on data and result deliverables, generate QC summaries, and route issues for resolution.

  • Results Data viewers: Refresh RMarkdown/Quarto or Shiny data viewers using approved templates for single-study and cross-study exploration; package and publish outputs in the agreed team format.

  • Cross-study database integration support: contribute to data collation, standardization, and ingestion activities (mapping variables, harmonizing identifiers, validating joins, running ETL checks)
     

Experiment Preparation

  • Link randomization: generate balanced layouts using the teams approved algorithm, validate balance metrics and coordinate downstream sample list submission steps.
     

Open Source Code Development
 

Claude Code sharing and optimization: maintain a reusable library of prompts/snippets/skills for common tasks (e.g., data viewer creation), define standards (style, testing, documentation), and provide light enablement to ensure consistent AI-assisted workflows.

Job Requirements

Technical Skills:

  • Experience in open-source programming such as R, R Shiny, and bash

  • Experience using version control tools (git)

  • Experience using Claude Code and other AI tools
     

Other Skills:

  • Familiarity with basic statistical modeling fundamentals (linear/logistic models, survival concepts, multiple testing awareness)

  • Detail oriented with a QC mindset and validation

  • Good communication and collaboration skills.

  • Comfortable with quick paced environment
     

Required Special Equipment and/or programs:

  • R/ R/Python, R Shiny, bash
     

Required Education:
 

BS (MS is a plus) in Bioinformatics, Computer Science, Computational Biology, Life Sciences, or related discipline with 2+ years of programming experience, preferably in life sciences processing molecular data and or clinical trial data in the biotechnology, pharmaceutical, or health-related industry

Skills Required

  • Bachelor’s degree in Bioinformatics, Computer Science, Computational Biology, Life Sciences, or a related discipline
  • 2+ years of programming experience
  • Experience with open-source programming, including R, R Shiny, and Bash
  • Experience using version control tools such as Git
  • Experience using Claude Code and other AI tools
  • Familiarity with basic statistical modeling fundamentals, including linear and logistic models, survival concepts, and multiple testing awareness
  • Experience processing molecular or clinical trial data in biotechnology, pharmaceutical, or health-related industries
  • Master’s degree in a related discipline

Parexel Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Parexel and has not been reviewed or approved by Parexel.

  • Healthcare Strength Health coverage is described as comprehensive, including medical, dental, vision, HSA/FSA options, and company-paid disability insurance. Descriptions often portray the package as strong or “top notch,” adding meaningful value.
  • Retirement Support Retirement offerings include a 401(k) with company matching and, in some regions, generous pension contributions. Core financial protections are emphasized as a solid part of the total rewards.
  • Leave & Time Off Breadth Time-off programs include ample PTO or flexible/unlimited RTO alongside flexible schedules and remote/hybrid options. Work-life balance support from managers is highlighted as a practical advantage.

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The Company
HQ: Raleigh, NC
20,524 Employees

What We Do

Parexel is among the world’s largest clinical research organizations (CROs), providing the full range of Phase I to IV clinical development services to help life-saving treatments reach patients faster. Leveraging the breadth of our clinical, regulatory and therapeutic expertise, our team of more than 21,000 global professionals collaborates with biopharmaceutical leaders, emerging innovators and sites to design and deliver clinical trials with patients in mind, increasing access and participation to make clinical research a care option for anyone, anywhere. Our depth of industry knowledge and strong track record gained over the past 40 years is moving the industry forward and advancing clinical research in healthcare’s most complex areas, while our innovation ecosystem offers the best solutions to make every phase of the clinical trial process more efficient. With the people, insight and focus on operational excellence, we work With HeartTM every day to treat patients with dignity and continuously learn from their experiences, so every trial makes a difference. For more information, visit parexel.com. Community Guidelines Because Parexel’s social media channels are open to the general public and employees, we are not responsible for views expressed other than our own. However, we do not tolerate posts that are: • Abusive, harassing or threatening to others. • Defamatory, offensive, obscene, vulgar or depicting violence. • Hateful targeting by race/ethnicity, age, color, creed, religion, gender, sexual preference or orientation, nationality or political beliefs. • Sexually explicit or pornographic. • Fraudulent, deceptive, libelous, misleading or unlawful. • Referencing criminal or illegal activity. • Spamming. We reserve the right to remove any comments that do not adhere to our guidelines as well as report users who violate the rules of our page.

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