Scientific Informatics Engineer

EPAM Systems, Inc.; Göteborgs kommun; Hybrid; SEK 420,000 - 540,000; Full time

Benefits offered by this job

ESPP Program

Private healthcare

Gym discounts

Wellness grant SEK 2000

Training & certifications

Job summary

EPAM Systems, Inc. is seeking an entry-level Scientific Informatics Engineer to join our Life Sciences practice in Gothenburg in a hybrid role. You'll work with scientists to connect and scale data across lab workflows, helping early research efforts become more data-driven and reproducible.

The position emphasizes curiosity about life sciences, basic programming exposure, and the ability to translate workflow needs into concrete technical requirements for lab automation and digital tools.

Qualifications

• Basic programming concepts; exposure to Python or similar scripting languages is a plus.
• Familiarity with version control tools such as Git is advantageous.
• Understanding of data structures, data management principles and analytical workflows.
• Awareness of how data analytics and AI are applied in a scientific context.

Responsibilities

• Assist in analysing scientific and business problems to propose practical, data-driven solutions.
• Gather, document and analyse business and technical requirements from multiple stakeholders.
• Support development and maintenance of lab automation workflows and digital tools.
• Map and analyse data flows within laboratory workflows and across connected scientific processes.
• Identify integration gaps between data systems and workflows, supporting recommendations for improvement.
• Collaborate with scientists, engineers and business teams to translate workflow needs into actionable steps.
• Ideally, assist in defining data dictionaries and basic data models relevant to early research processes.
• Document processes and support process-mapping to optimise efficiency in research environments.

Skills

Python basics

Git versioning

Data management

Analytical thinking

Effective communication

Education

Life sciences or related field

Tools

Git

ELN/LIMS exposure

Job description

We’re looking for a Scientific Informatics Engineer to join our Life Sciences practice in Gothenburg, Sweden in a hybrid working mode.In this entry-level role, you will work closely with EPAM’s Life Sciences team to identify and develop opportunities where technology, data and process innovation can help a world-leading pharmaceutical organisation scale its early research capabilities.You will be embedded in an innovative life sciences environment, collaborating with scientists engaged in early-stage drug discovery and research. Projects will focus on understanding how data is generated across laboratory workflows—from sample management and assay execution to experimental data capture—and finding ways to connect, standardise and scale these processes through smart data integration.This position is ideal for someone eager to develop skills across technical, scientific and analytical dimensions. We don’t expect you to be an expert in everything—you should have curiosity about life sciences and a desire to grow in data-driven roles that make a real impact on scientific research.ResponsibilitiesAssist in analysing scientific and business problems to propose practical, data-driven solutionsGather, document and analyse business and technical requirements from multiple stakeholdersSupport development and maintenance of lab automation workflows and digital toolsMap and analyse data flows within laboratory workflows and across connected scientific processesIdentify integration gaps between data systems and workflows, supporting recommendations for improvementCollaborate with scientists, engineers and business teams to translate workflow needs into actionable stepsIdeally, assist in defining data dictionaries and basic data models relevant to early research processesDocument processes and support process-mapping to optimise efficiency in research environmentsRequirementsBasic understanding of programming concepts; exposure to Python or similar scripting languages is a plusFamiliarity with version control tools such as Git is advantageousUnderstanding of data structures, data management principles and analytical workflowsAwareness of how data analytics and AI are applied in a scientific contextEducational background or coursework in life sciences, biology, chemistry, biochemistry or related fieldsBasic familiarity with laboratory practices, equipment or safety protocolsUnderstanding of early research workflows such as compound/sample management, assay execution or omics data generationAwareness of how scientific data is captured, stored and used in pharmaceutical or biotech researchFamiliarity with Electronic Lab Notebooks (ELNs) or Laboratory Information Management Systems (LIMS) is a plusBasic knowledge of data file formats relevant to life sciences (e.g., SDF, FASTA, CSV exports from instruments)Any prior hands-on lab experience (academic or internship) is advantageousAbility to engage with scientists, understand workflow pain points and translate them into structured technical requirementsComfort with process mapping and documenting task flows, including identifying manual stepsUnderstanding that research environments demand high data quality and reproducibility along with efficiencyExperience creating process flow visuals or performing root cause analysis is beneficialNice to haveExposure to lab automation platforms or informatics toolsFamiliarity with bioinformatics file formats or analysis toolsUnderstanding of Agile frameworks or experience in structured project environmentsPrevious experience in business analysis, research assistance or project coordination rolesWe offerEPAM Employee Stock Purchase Plan (ESPP)Company’s pension planPrivate healthcare insuranceSafety & life insuranceGym discountsWellness Grant (SEK 2000)Corporate Programs including Employee Referral Program with rewardsLearning and development opportunities including in-house training and coaching, professional certifications, and courses