Biomarker Data Scientist

Gent - Belgium

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

Join us as we transform immunology and deliver medicines that help autoimmune patients get their lives back. argenx is preparing for multi-dimensional expansion to reach more patients through a rich pipeline of differentiated assets led by VYVGART our first-in-class neonatal Fc receptor blocker approved for the treatment of gMG and with the potential to treat patients across dozens of severe autoimmune diseases.

We are building a new kind of biotech company one that maintains its roots as a science-based start-up and pushes our commitment to innovate across all corners of our business. We strive to inspire and grow our company our partnerships our science and our people because when we do we deliver more for patients.

Atargenxwereall in on our innovation mission to transform care for people living with severe autoimmune diseases. We speak the language of science put patients first and value highimpact over hierarchy. If youre energized by bold ideas and collaborative problemsolvingpatients are waiting.

The opportunity

You will be the statistical leader foranalyticalBiomarkerstrategiesanalysisfor andacross autoimmune clinical programs including support forand reverse translationspanning early and late development.Youlladvance decisionmakingthroughrigorous quantitative methodsfor Forward and ReverseTranslational projects elevate standards for reproducible science across our portfolioand contribute toshapeBiomarker-drivenstudydesigns.

Whatyoulldo

Own endtoendBiomarkerstatistics for autoimmuneand immunological disordertrials.Translateprogramcriticalexploratory researchquestions into clear testable quantitative strategiesdriveimplementation and evidencebased decisionmaking; designand executerobust analyses (e.g. longitudinal models timetoevent multiplicity control);interpretand reportresults to drive program decisionsand formulate the findingsand impact of the insightsto the various stakeholderaudiencesin close collaboration with key stakeholders within Quantitative Sciences (QS)andbeyondin ClinicalBiomarkerand TranslationalScientistsand Preclinical Scientists.

Leadinnovativeanalysis ofBiomarkerand multiomics data. Apply rigorous methods for highdimensional datasets (transcriptomics/proteomics/metabolomics); integrate across modalities; define robust QC/normalization strategies.

Apply andelevateinternal Data Scienceexcellence. Set standards for reproducibledata analysis workflowsandpackage ecosystems; mentor teams in advanced R practices for bioinformatics.

Contribute to datareusabilityfor metadata analysis and Reverse Translation.Championreproducible researchand traceability best practices; partner withBiomarker Data Management andProgramming toensure ALCOA compliance andconformance for regulatory interactions where.

Advance data products & visualization. Partner withBiomarkerData TeamstogetBiomarkerdashboards (R/Shiny Spotfireor similar) andtables lists and figuresproduced; promote transparent reporting linked toADaM wheredeemed.

Champion moderncompute& collaboration. Work in Gitfirst workflows; leverage cloud dataand analyticalplatforms (Posit Team for statistical analysesDatabricks for AI/ML Snowflake for governed analytics) with fitforpurposelakehouse/warehouse patterns used widely in life sciences.

Mentor influence and represent. Provide thought leadership inBiomarkeranalysis and datastrategy collaborate withstatisticspartners and contribute to regulatory meetings as neededconsistent with senior biostatistics leadership responsibilities.

Whatyoullbring

Advanced degree in Biostatistics Biomedical Science Bioengineering or related quantitative field;8pharma/biotech experience spanning clinical development.

Expert R&Bioconductor (package ecosystem fluency; writing robustreproducibletested code); Python for scientific computingand machine learning; SASproficiencyis valued.

Expertisein surrogate markersdiagnostic prognostic pharmacodynamic and responsepredictive biomarker methods isa must; experience with regulatory strategiesutilizingbiomarkers a plus

Communication: clear statistical writing and the ability to translate complex findings for crossfunctional teams.

Deep experience in statistical methods forBiomarkerdata including feature engineering dimensionality reduction longitudinal modeling survival analysis multiplicity adjustment and robust inference in highdimensional settings.

Handsonexperience inmachine learning (classification clustering regularized models; ideallyMLfloworiented workflows in the cloud) in line with modernBiomarkerdevelopment.

Working experience with CDISC standards andsubmissionmetadata.

Data & platform skills: Git experience with Databricks/Snowflake; familiarity with data engineering patterns for analytics readiness notion ofCI/CD containerization.

Dashboarding:R/ShinySpotfireor equivalent.

On site presence in the Ghent office for 2 days/week.

Whyargenx

We dare to do moretogether. Atargenxyoulljoin a global immunology biotech where the science of cocreation drives bold goals and real patient impact. Youllfind highimpact over hierarchy and a culture where Argonauts collaborate across borders to turn precision science into medicines.

Offer

Member of a cross-disciplinary team involved in clinical development of therapeutic antibodies.

Opportunity to contribute to the continued build-out of the TranslationalDataScience team.

Competitive salary package with extensive benefits.

Please send your CV together withacover letter to:

Your application and related information will remain strictly confidential.

At argenx all applicants are welcomed in an inclusive environment. They will receive equal consideration for employment without discrimination on the basis of race color religion sex sexual orientation gender identity national origin protected veteran status disability or any other applicable legally protected characteristics. argenx is proud to be an equal opportunity employer.

Before you submit your application CV or any other personal details to us please review our argenx Privacy Notice for Job Applicants to learn more about how argenx B.V. and its affiliates (argenx) will handle and protect your personal data. If you have any questions or you wish to exercise your privacy rights please contact our Global Privacy Office by email at .

Required Experience:

The opportunity

Whatyoulldo

Own endtoendBiomarkerstatistics for autoimmuneand immunological disordertrials.Translateprogramcriticalexploratory researchquestions into clear testable quantitative strategiesdriveimplementation and evidencebased decisionmaking; designand executerobust analyses (e.g. longitudinal models timetoevent multiplicity control);interpretand reportresults to drive program decisionsand formulate the findingsand impact of the insightsto the various stakeholderaudiencesin close collaboration with key stakeholders within Quantitative Sciences (QS)andbeyondin ClinicalBiomarkerand TranslationalScientistsand Preclinical Scientists.

Leadinnovativeanalysis ofBiomarkerand multiomics data. Apply rigorous methods for highdimensional datasets (transcriptomics/proteomics/metabolomics); integrate across modalities; define robust QC/normalization strategies.

Apply andelevateinternal Data Scienceexcellence. Set standards for reproducibledata analysis workflowsandpackage ecosystems; mentor teams in advanced R practices for bioinformatics.

Contribute to datareusabilityfor metadata analysis and Reverse Translation.Championreproducible researchand traceability best practices; partner withBiomarker Data Management andProgramming toensure ALCOA compliance andconformance for regulatory interactions where.

Advance data products & visualization. Partner withBiomarkerData TeamstogetBiomarkerdashboards (R/Shiny Spotfireor similar) andtables lists and figuresproduced; promote transparent reporting linked toADaM wheredeemed.

Champion moderncompute& collaboration. Work in Gitfirst workflows; leverage cloud dataand analyticalplatforms (Posit Team for statistical analysesDatabricks for AI/ML Snowflake for governed analytics) with fitforpurposelakehouse/warehouse patterns used widely in life sciences.

Mentor influence and represent. Provide thought leadership inBiomarkeranalysis and datastrategy collaborate withstatisticspartners and contribute to regulatory meetings as neededconsistent with senior biostatistics leadership responsibilities.

Whatyoullbring

Advanced degree in Biostatistics Biomedical Science Bioengineering or related quantitative field;8pharma/biotech experience spanning clinical development.

Expert R&Bioconductor (package ecosystem fluency; writing robustreproducibletested code); Python for scientific computingand machine learning; SASproficiencyis valued.

Expertisein surrogate markersdiagnostic prognostic pharmacodynamic and responsepredictive biomarker methods isa must; experience with regulatory strategiesutilizingbiomarkers a plus

Communication: clear statistical writing and the ability to translate complex findings for crossfunctional teams.

Deep experience in statistical methods forBiomarkerdata including feature engineering dimensionality reduction longitudinal modeling survival analysis multiplicity adjustment and robust inference in highdimensional settings.

Handsonexperience inmachine learning (classification clustering regularized models; ideallyMLfloworiented workflows in the cloud) in line with modernBiomarkerdevelopment.

Working experience with CDISC standards andsubmissionmetadata.

Data & platform skills: Git experience with Databricks/Snowflake; familiarity with data engineering patterns for analytics readiness notion ofCI/CD containerization.