Senior Data Analyst, Assay Data

Job Description

The role will assist Product Technical Leads in delivering the strategy for the Experiment Design and Execution (EDE) Product Line within Animal Health Research & Development IT. The role offers the chance to work on products that directly impact how lab-based research is conducted and accelerate innovative drugs to market. You will be comfortable collaborating with all levels of scientific and R&D IT EDE product team, to analyze and distil technical workflows from which to implement requirements. Success will be the acceptance and adoption of these new solutions by the scientists targeted for each release.

You must be able to empathize with our scientists' needs and be a passionate advocate for their perspectives through all phases of product development. Collaboration will be a key aspect of your role as you work closely with cross-functional teams, including researchers, data scientists and IT professionals. Together with an agile team, you will develop efficient and scalable data solutions for our R&D laboratories to capture assay data. Your bioscientific background and your expertise in data engineering and IT will play a critical role in accelerating processes and data flows and foster the discovery and development of new veterinary medicines.

Responsibilities

• Design efficient end-to-end data workflows to support pharmaceutical and vaccine research

• Support data capture, transformation, and analysis of R&D data (e.g. biochemical / biological assay data)

• Provide day to day support function to the EDE Product Team, ensuring user success of developed solutions

• Conduct user interviews/analyses and work with support teams to identify problems and document them

• Work with IT and lab-based staff to proactively map these workflows and needs

• Synthesize data, observations, and other research into insights to help inform product strategy and decisions

• Author technical requirements, test scripts and user facing documentation

• Work with offshore/remote teams and software vendors to implement requirements

• Streamline workflows, reduce manual transcriptions, and enhance workflow efficiency

• Develop data capture forms and ingestion pipelines to process information from diverse R&D data sources

• Design meaningful and reusable data components, that can be applied across different projects and datasets

• Enable data integration, interoperability, and discoverability through the application of FAIR principles

Requirements

• Minimum Bachelor's in a field related to Biosciences

• Minimum of 5 years' work experience, with demonstrated expertise in scientific IT solutions like Activity Base, Genedata, etc.

• Strong analytical skills with a creative mindset

• Strong communication and collaboration skills

• Understanding of database systems, data modelling, and data warehouse concepts

• Ability to quickly grasp new technological and scientific concepts

• Ability to demonstrate curiosity and flexible thinking to get to the underlying issue and define the problem

• Ability to demonstrate analytical problem-solving skills and the ability to work with varying levels of ambiguity across multiple projects concurrently

• Strong written and verbal communications skills and the ability to interact with both technical and non-technical stakeholders and users

• Ability to work in a team of multidisciplinary scientists and IT personnel, and operate effectively in a matrix environment; team player yet able to work independently

• Experience providing ongoing operational support for scientific research applications

• Experience in Data Warehouse and Data Lake storage architectures for scientific research data

• Demonstrable knowledge of problems facing scientists working a drug discovery lab

• Familiarity with cloud-based software and terms

• Familiarity with agile software development processes

Our Offer

PLEASE NOTE: The primary location is Prague, benefits in Hyderabad may vary.

• Exciting work in a great team, global projects, international environment

• Opportunity to learn and grow professionally within the company globally

• Hybrid working model, flexible role pattern

• Pension and health insurance contributions

• Internal reward system plus referral program

• 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution

• Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card

• Vodafone, Raiffeisen Bank, Foodora, and Mall.cz discount program

• Up-to-date laptop and iPhone

• Parking in the garage, showers, refreshments, library, music corner

• Competitive salary, incentive pay, and many more

Ready to take up the challenge? Apply now
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Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Required Skills:

Business Intelligence (BI), Data Management, Data Modeling, Data Visualization, Measurement Analysis, Stakeholder Relationship Management, Waterfall Model

Preferred Skills:

Job Posting End Date:

06/24/2025

*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

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