Job Applications – New Batch · April 2026

Lukas Westphal-Ostrowski  ·  PhD Candidate, Real-World Studies & Regulatory Science

Today: April 30. RWD Steward submitted ✓  ·  ALK AI Engineer: interview 🎉  ·  ALK CDM closes May 3  ·  Novo Nordisk Sr. CDM closes May 4  ·  Ascendis Pharma rolling — recruiter flags urgent.
Total positions
12
Submitted
2
Interview
1
All in Denmark

Overview

Position Company Location Deadline Status Fit Contract Link
Safety Surveillance Specialist
Signal detection, PASS, post-marketing PV
Novo Nordisk
Global Patient Safety
Søborg, Denmark
Apr 27, 2026
Closed — not applied
Not Applied 9.2/10 Permanent → View job
Senior COA Manager
Clinical outcomes assessments, patient-focused drug dev.
Novo Nordisk
Global Medical Affairs
Søborg, Denmark
Apr 28, 2026
Closed — not applied
Not Applied 6.0/10 Permanent → View job
RWD Steward Manager
RWD governance, FAIR principles, data ethics
Novo Nordisk
R&D Real World Evidence
Søborg, Denmark
Apr 23, 2026
✓ Applied
7.8/10 Permanent → View job
Analyst / Senior Analyst – RWE
RWE consulting, Nordic registries, pharmacoepidemiology
Signum Life Science
Nordic RWE Consulting
Copenhagen, Denmark
No deadline
Rolling — apply soon
Identified 9.0/10 Permanent → View job
Statistician / Senior Statistician
Danish registers, EHR data, mental disorders research
Copenhagen Research Centre for Biological & Precision Psychiatry
Mental Health Centre Copenhagen / Region H
Gentofte Hospital, Copenhagen
May 17, 2026
17 days left
Identified 9.0/10 1 year
Start: Jun 1, 2026
→ View job
Clinical Data Manager
eCRF, EDC systems, data quality, clinical trials
ALK
Biometrics / Global Clinical Development
Hørsholm, Denmark
(DTU Science Park)
May 3, 2026
⚡ 3 days left
Identified 7.0/10 Permanent → View job
Clinical Data & AI Engineer
Data pipelines, agentic AI, clinical data science architecture
ALK
Clinical Data Science / Global Clinical Development
Hørsholm, Denmark
(DTU Science Park)
Apr 23, 2026
✓ Applied
Interview 7.5/10 Permanent → View job
Senior Clinical Data Management Professional
End-to-end trial data management, GCP, regulatory submissions
Novo Nordisk
Clinical Data Management & Programming (CDMP)
Søborg, Denmark
May 4, 2026
⚡ 4 days left
Identified 7.5/10 Permanent → View job
Safety Data Analysis & Reporting Lead
Aggregate safety reports, PSURs, risk management plans
Ascendis Pharma
Global Patient Safety Medical Science
Hellerup, Denmark
No deadline
Rolling — high urgency per recruiter
Identified 6.5/10 Permanent → View job
AI & Digital Transformation Professional
Generative AI use cases in pharma Quality (GxP)
Lundbeck
Corporate Product Quality
Copenhagen, Denmark
May 15, 2026
15 days left
Identified 6.0/10 Permanent → View job
Data Analyst
Marine coating performance analytics, Power BI, BI tools
Hempel
Marine Data & Technology
Copenhagen, Denmark
Not specified
Rolling
Identified 5.5/10 Permanent → View job
Scientist — Computational Audiology & ML
Real-world hearing data, ML models, translational research
Demant / Eriksholm Research Centre
Oticon R&D — 35+ scientists
Snekkersten, Denmark
(partly Smørum)
May 17, 2026
17 days left
Identified 8.5/10 Permanent → View job

Detailed Analysis

🔬 Novo Nordisk — Safety Surveillance Specialist 9.2/10

Role focus

Team: Post-Marketing Cardiometabolic II – handles all Semaglutide products (Ozempic/Wegovy)

Core work: Quantitative & qualitative signal detection; PASS/NIS study input; health-authority safety responses; real-world data utilisation in PV

Contract

Type: Permanent

Location: Søborg (onsite)

Deadline: 27 April 2026

Contact: Brian Sonne Stage (Director)

Requirements

  • MSc/PhD in Medicine or Natural Sciences
  • Pharmacovigilance experience (extensive)
  • Epidemiology / pharmacoepidemiology knowledge
  • Data analytics and visualisation
  • Fluent English

Key responsibilities

  • Signal detection in aggregate post-marketing data
  • Causality assessment & Safety Committee input
  • PASS and NIS scientific input
  • Secondary RWD evaluation in PV context
  • Process optimisation in safety surveillance

Exceptional matches

  • PhD in Real-World Studies & Regulatory Science
  • Pharmacovigilance research background
  • Danish registry data expertise
  • Epidemiological study design
  • Python / R / SAS for data analytics
  • Drug safety publications (peer-reviewed)
  • Real-world evidence and PASS experience

Gaps

  • No direct pharma industry experience
  • No semaglutide / diabetes area focus
  • No post-marketing signal detection platform experience

Transferable

  • Diabetes safety co-authorship → cardiometabolic domain
  • Active safety surveillance emulation studies
  • Regulatory science → PV regulatory responses
  • NLP on literature → safety literature surveillance
  • Causal inference → causality assessment

Application strategy — strongest application in this batch

Cover letter: Lead with your exact match to their work: pharmacovigilance, RWE-based safety studies, Danish registry data, and drug safety publications. Mention your active surveillance study co-authorship explicitly — this directly mirrors PASS/NIS work. Frame the industry-to-academia gap as methodological depth they won't find in typical industry candidates.

CV: Move the pharmacovigilance and drug safety projects to the top of the Key Research Projects section. Emphasise the diabetes safety studies and the SSRI safety cohort study.

📋 Novo Nordisk — Senior COA Manager 6.0/10

Role focus

Team: Patient-Focused Drug Development (10 people), within Global Medical Affairs

Core work: Select, develop, validate COA instruments (PROs, ClinROs, ObsROs) across the full drug development lifecycle; regulatory COA dossiers; stakeholder management across Clinical, Regulatory, Biostats, Market Access

Contract

Type: Permanent

Location: Søborg

Deadline: 28 April 2026

Contact: Majbritt Ravn Hufeldt (+45 30756840)

Requirements

  • MSc/PhD in health economics, psychology, public health, epidemiology
  • Demonstrated COA development & validation experience
  • Qualitative & quantitative data analysis
  • Pharmaceutical industry context (preferred)
  • Regulatory guideline knowledge

Key responsibilities

  • COA strategy development per trial
  • Instrument selection, modification, validation
  • COA dossiers and regulatory briefing books
  • Publication support for COA outcomes
  • Cross-functional stakeholder coordination

Matches

  • Psychology BSc (strong conceptual base for PROs)
  • PhD qualification met
  • Quantitative & qualitative research experience
  • Epidemiology & regulatory science background
  • Cross-functional collaboration experience

Significant gaps

  • No COA development or validation experience
  • No clinical trial / pharma industry experience
  • No patient-reported outcome instrument work
  • No health economics background
  • Very specialised niche — steep learning curve

Transferable

  • Psychology training → patient experience understanding
  • Regulatory science → regulatory guideline familiarity
  • Statistical methods → COA validation analysis
  • Publication experience → COA dissemination

⚠ Apply only if genuinely interested in patient-centred outcomes — weakest fit in this batch

Honest assessment: The domain gap here is real. COA is a highly specialised niche requiring hands-on instrument development experience you don't have. Your psychology background is an asset but insufficient on its own.

If you apply: Lead with the Psychology Honours degree and your experience with patient-relevant endpoints in pharmacovigilance. Emphasise your regulatory science background and rapid learning ability. Be honest that COA is a pivot and explain why you're drawn to patient-focused drug development specifically.

🗄 Novo Nordisk — RWD Steward Manager 7.8/10

Role focus

Team: RWD Strategy & Enablement, within R&D Real-World Evidence

Core work: FAIR data principles; data privacy & AI ethics oversight; RWD linkage governance; vendor/outsourcing model management; DER (Data Ethics Representative) responsibility; cross-functional coordination with IT, legal, procurement

Locations: Søborg, Denmark OR London, UK

Contract

Type: Permanent

Deadline: 23 April 2026 — URGENT

Contact: Uffe Christian Braae (UCHB@novonordisk.com)

Note: No cover letter required — add motivation lines to CV

Requirements

  • MSc in public health, epidemiology, data science, or information science
  • Experience with RWD or clinical health data in operational/governance roles
  • Knowledge of data governance & documentation processes
  • Vendor coordination / outsourcing model experience
  • Strong communication and stakeholder management

Advantages mentioned

  • Data Ethics requirements familiarity
  • Pharma industry / complex healthcare experience
  • Experience with Danmarks Statistik, national Danish registries
  • Data linkage processes knowledge

Strong matches

  • PhD + MSc in epidemiology / data science
  • Danish national registry data expert
  • Danmarks Statistik experience (explicitly listed advantage)
  • RWE study design and execution
  • Scientific publication demonstrating data rigour
  • Python / R / SAS data management skills

Gaps

  • No operational/governance role experience
  • No vendor / outsourcing management
  • No formal data privacy / GDPR governance work
  • More operational than scientific — different day-to-day

Transferable

  • Danish registry expertise → core listed advantage
  • RWE methodological knowledge → stewardship credibility
  • Research project coordination → governance workflows
  • Regulatory science → compliance understanding
  • NLP / API work → data pipeline awareness

Apply first — closes soonest, and your Danish registry background is explicitly valued

Key angle: The job posting specifically calls out "experience with Danmarks Statistik, registries, or national datasets" as an advantage. You have this as a core competency. Frame your academic RWE work as evidence you deeply understand what good RWD governance enables — and why poor governance breaks studies.

Address the governance gap: Acknowledge this is a shift from scientific to operational, but position it as intentional — you understand both sides and want to shape the infrastructure that makes rigorous RWE possible at scale.

CV note: No cover letter needed — add a 2–3 sentence motivation to your CV's professional summary section.

📊 Signum Life Science — Analyst / Senior Analyst RWE 9.0/10

Role focus

Company: Nordic life science consulting firm — RWE, market access, HEOR, Nordic sales data

Team: Growing Nordic RWE team of epidemiologists, consultants, and analysts

Core work: End-to-end RWE study delivery using Danish/Nordic health registries; protocol/SAP inputs; cohort creation; statistical analysis; client-ready deliverables; project management at senior level

Contract

Type: Permanent

Level: Flexible (Analyst or Senior Analyst)

Deadline: None (rolling) — apply promptly

Apply to: acfj@signumlifescience.com (Anne Cathrine Falch-Jørgensen)

Location: Copenhagen

Requirements

  • MSc or PhD in epidemiology, pharmacoepidemiology, data science, biostatistics
  • Strong data management and analytical skills
  • R (preferred), SAS, or Python
  • Interest in / experience with observational studies and RWD
  • Danish/Nordic health registry experience (preferred, not required)
  • Strong English communication; Nordic language a plus

Key responsibilities

  • Protocol and SAP inputs; cohort definition and extraction
  • Statistical analysis and interpretation
  • Client-ready slide decks and scientific reports
  • Reproducible, quality-assured workflows
  • At senior level: project & client management, proposal development
  • Team contribution and knowledge sharing

Near-perfect matches

  • PhD in Real-World Studies + MSc Social Data Science
  • Danish national health registry expert (core daily work)
  • R, SAS, Python proficiency
  • Pharmacoepidemiology specialty (their exact domain)
  • Observational study design leadership
  • Peer-reviewed publications demonstrating rigor
  • Protocol and SAP writing experience
  • Danish B1 (Nordic language advantage)

Minor gaps

  • No consulting / client-facing experience
  • Academic deliverables differ from client slide decks
  • No commercial pharma project delivery experience

Directly transferable

  • Academic registry studies → client RWE delivery
  • Teaching → clear communication of complex methods
  • PhD supervision → team mentoring (senior level)
  • Grant/publication writing → proposal development
  • Network analysis + NLP → innovative analytical angles for clients

Excellent opportunity — direct application of all your core skills in a consulting context

Positioning: Apply as Senior Analyst given your PhD and multi-year research leadership. Your Danish registry expertise is exactly what their clients pay for — and you have more of it than most consultants they'll see.

Application: Send CV + short motivation email directly to acfj@signumlifescience.com. Call +45 61 77 69 75 if you want to ask questions first — they encourage it. Mention your Danish B1 language skills and registry experience prominently.

Unique angle: Your NLP and network analysis experience for the literature mapping project is genuinely differentiated — most RWE consultants don't have this. Mention it as an additional capability you bring beyond standard epidemiological analysis.

🧠 Copenhagen Research Centre for Biological & Precision Psychiatry — Statistician / Senior Statistician 9.0/10

About the centre

PI: Prof. Michael E. Benros (chief physician, PhD, director)

Team: 25–30 researchers — doctors, statisticians, bioinformaticians, geneticists

Focus: Prevention and treatment of severe mental disorders using nationwide Danish registers, large-scale genetic data, population-based EHR data (Sundhedsplatformen), and multimodal clinical data

Ethos: Robust, well-known methods applied to new settings; prioritise scientific publication over incremental predictive gains

Contract

Duration: 1 year (with evaluation for extension)

Start: June 1, 2026

Location: Gentofte Hospital, Copenhagen

Deadline: May 17, 2026

Contact: Prof. Benros (+45 26255239) or Secretary Signe Clausen

Requirements

  • MSc or PhD in Statistics, Bioinformatics, or related field
  • Strong biostatistics / epidemiology skills
  • R programming (preferred) — functions, codebase, reproducible research
  • Survival analysis, medical statistics, large-scale register data
  • Proven scientific writing for medical / non-technical readership
  • Multi-disciplinary collaboration ability

Preferred qualifications

  • Nationwide register / large-scale dataset management
  • Causal inference: IPW, g-methods, target trial emulation
  • Longitudinal clinical trial analysis, estimand framework
  • Machine learning and predictive modelling
  • Scientific publication process (writing, submission, peer review)

Exceptional matches

  • PhD in Real-World Studies + MSc Social Data Science
  • Danish nationwide register expert (core daily work)
  • R, Python, SAS proficiency
  • Survival analysis & Cox regression (exact requirement)
  • Causal inference: g-formula & doubly robust methods
  • Machine learning in health data
  • Multiple peer-reviewed publications in medical journals
  • SSRI / antidepressant research = direct psychiatric domain

Minor gaps

  • No formal psychiatry / mental health research background
  • No genetics / bioinformatics / multi-omics experience
  • No Sundhedsplatformen EHR experience specifically
  • 1-year contract vs. permanent preference

Directly transferable

  • Antidepressant (SSRI) research → psychiatric domain credibility
  • Danish register pharmacoepidemiology → their exact data infrastructure
  • Target trial emulation / g-formula → listed preferred qualification
  • NLP on literature → research network analysis for psychiatry
  • Teaching epidemiology to MDs → communicating stats to clinicians

Standout application — your SSRI research directly bridges into their psychiatric focus

Key differentiator: Most statisticians applying here will have strong methods but no content-area relevance to psychiatry. You have both: your antidepressant effectiveness and safety research is literally psychiatric pharmacoepidemiology. Lead with this explicitly — it is unusual and highly valuable.

Cover letter angle: Frame as a natural scientific progression: "My PhD research on SSRI effectiveness and safety using Danish registry data aligns directly with your group's focus on mental disorders and treatment. I already work with the same data infrastructure, the same causal inference methods, and publish in the same journals your group targets."

Highlight on CV: SSRI personalised treatment project (g-formula, doubly robust), SSRI safety cohort study, and the literature network analysis project. Explicitly list g-formula and target trial emulation in your skills section — they are preferred qualifications here.

🧪 ALK — Clinical Data Manager 7.0/10

Role focus

Team: Clinical Data Management group within Biometrics, Global Clinical Development

Core work: Build and maintain clinical databases, eCRFs, and Data Management Plans across trials in North America, Europe, and China. Hands-on data oversight: monitoring incoming data, resolving queries, managing discrepancies, ensuring clean delivery.

Growth angle: ALK is actively investing in data governance, platform development, and automation — looking for someone curious to grow in that direction alongside core CDM duties.

Contract

Type: Permanent

Location: Hørsholm, Denmark (DTU Science Park) — onsite with some flexibility

Deadline: May 3, 2026

Apply: CV + short motivation letter via EasyCruit portal

Requirements

  • BSc or higher in STEM (natural sciences, health, data science, IT)
  • 2–3 years clinical development experience (pharma/CRO) preferred
  • Python, R, or SAS — working knowledge, not developer-level
  • Detail-oriented data work: cleaning, checking, querying, resolving
  • Organised, reliable, able to manage multiple studies
  • Fluent English; good communication with sites, monitors, vendors

Key responsibilities

  • Study data oversight — own the state of trial data
  • EDC system building, configuration, and maintenance
  • Data quality control — implement data checks, manage discrepancies
  • Maintain DMPs, validation documents, edit check specifications
  • Reporting: listings, status summaries, support for interim/final analyses
  • Contribute to data standards and governance initiatives

Solid matches

  • PhD-level STEM qualification (exceeds BSc requirement)
  • Python, R, SAS — all three languages proficient
  • Large-scale health data management (Danish registries)
  • Data quality and reproducible research workflows
  • Regulatory science background — understands compliance context
  • Cross-functional collaboration experience
  • Curiosity and growth mindset (explicitly valued here)

Real gaps

  • No clinical trial / EDC system experience (Medidata, Veeva, etc.)
  • No eCRF build or Data Management Plan experience
  • No pharma industry or CRO background
  • No site query management or clinical operations exposure
  • Registry data ≠ interventional trial data in structure

Transferable

  • Registry data management → clinical database principles
  • SAP / analysis plan writing → Data Management Plan writing
  • Pharmacovigilance → regulatory compliance mindset
  • SAS proficiency → standard CDM programming tool
  • Research project coordination → study timeline management
  • Data governance interest aligns with ALK's stated growth direction

Good opportunity to enter clinical trials — lean into the technical + governance angle

Honest assessment: The hands-on CDM experience gap (EDC systems, eCRF builds, site query management) is real, but ALK explicitly says a different data-intensive background can work. Your PhD-level statistics and SAS/R/Python skills significantly exceed what most CDM candidates bring — that's your differentiator.

Cover letter angle: Position this as a deliberate move into clinical trials from a strong methodological base. Emphasise that you already work with large health datasets, write analysis plans, manage data quality, and understand the regulatory context. ALK's investment in automation and data governance is the hook — show genuine curiosity about that direction and how your programming skills are directly relevant to it.

Address the gap directly: Acknowledge you haven't worked with EDC systems specifically, but note that your data management depth and technical skills mean the learning curve is in the tooling, not the underlying concepts.

📋 Novo Nordisk — Senior Clinical Data Management Professional 7.5/10

Role focus

Dept: Clinical Data Management & Programming (CDMP) — end-to-end planning, execution, quality, and delivery of clinical trial data across Novo Nordisk's global development portfolio

Core work: Lead trial data management from protocol to database lock; develop and maintain Data Management Plans; coordinate risk and issue management; ensure GCP and regulatory compliance; support regulatory submissions

Contract

Type: Permanent

Location: Søborg or Aalborg, Denmark (onsite)

Deadline: May 4, 2026

Contact: Anders Larsen, Associate Director CDMP (+45 30752669)

Requirements

  • MSc/BSc in IT, Natural or Life Sciences
  • 3+ years in clinical data management or equivalent
  • Strong project manager mindset and stakeholder management
  • GCP and regulatory requirements knowledge
  • Experience leading trials in international, complex settings
  • Analytical rigour and cross-functional collaboration

Key responsibilities

  • Own data quality, integrity and delivery from protocol to submission
  • Lead planning, timeline communication, and risk management
  • Develop and maintain DMPs and key DM documents
  • Ensure audit and inspection readiness at trial level
  • Drive innovation — challenge existing ways of working
  • Support P-CDM in vendor assessments

Solid matches

  • PhD exceeds MSc/BSc requirement
  • R, SAS, Python across full clinical data science stack
  • Large-scale health data management (Danish registries)
  • Regulatory science PhD — GCP/regulatory context familiar
  • Cross-functional collaboration with clinicians and statisticians
  • Documentation and reproducible research workflows

Gaps

  • No EDC system or eCRF experience (Medidata, Veeva, etc.)
  • No direct clinical trial data management experience
  • No vendor/CRO oversight experience
  • Registry data ≠ interventional trial data structures

Transferable

  • Registry data pipeline design → DMP and data flow ownership
  • SAP writing → clinical data documentation standards
  • Pharmacovigilance → regulatory compliance mindset
  • Research project coordination → trial timeline management
  • SAS proficiency → standard CDM programming language

Apply quickly — closes May 4, and your regulatory science angle differentiates you

Positioning: Frame as bringing deep methodological and regulatory understanding to a hands-on CDM role. The "drive innovation" language in the job description is the hook — your background in data engineering, LLMs, and reproducible pipelines is directly relevant to modernising clinical data management workflows.

Address the gap: Acknowledge no EDC system experience, but position your data management depth and technical stack (SAS, Python) as evidence the learning curve is in tooling, not concepts.

🛡 Ascendis Pharma — Safety Data Analysis & Reporting Lead 6.5/10

Role focus

Company: Global biopharma — TransCon technology platform; Endocrinology Rare Disease and Oncology portfolios. HQ in Hellerup, Denmark.

Team: GPS Medical Science Team; reports to Head of GPS Medical Science (based in Germany)

Core work: Lead planning, writing, and execution of aggregate safety reports (PSURs, PADERs) and risk management plans; lead safety data collection and analysis from multiple sources; coordinate with vendors

Contract

Type: Permanent

Location: Hellerup, Denmark

Deadline: Rolling — recruiter flags high urgency

Apply: job@besttalent.dk — mark "1941 / Safety Data Analysis and Reporting Lead"

Travel: Up to 20 days/year

Requirements

  • MSc or PhD in life science (pharmacy, nursing, medicine or similar)
  • 5+ years experience in patient safety
  • Expertise in aggregate safety reporting and risk management plans
  • FDA and EMA pharmacovigilance regulations, ICH Guidelines
  • Strong communicator, analytical, entrepreneurial mindset

Key responsibilities

  • Lead and oversee PSURs, PADERs, aggregate reports, RMPs
  • Coordinate vendor activities for aggregate safety reporting
  • Safety data collection and analysis from multiple sources
  • Collaborate with program safety leads on safety inputs
  • Respond to health authority requests

Matches

  • PhD in Regulatory Science — regulatory context deeply understood
  • Pharmacovigilance and drug safety research background
  • Safety data analysis from large health datasets
  • Statistical analysis and reporting skills
  • Cross-functional collaboration and scientific communication

Significant gaps

  • 5+ years patient safety experience required — you have ~1 year adjacent
  • No aggregate report (PSUR/PADER) writing experience
  • No RMP development experience
  • No vendor/CRO coordination in PV context
  • This is a senior lead role — level may not match yet

Transferable

  • Active safety surveillance research → signal detection principles
  • Drug safety co-authorship → safety data analysis literacy
  • Regulatory science PhD → ICH/FDA/EMA framework familiarity
  • Python/R for safety data analysis → aggregate data handling

⚠ Worth a shot given rolling recruitment, but be honest about the experience gap

Honest assessment: The 5+ years patient safety requirement is a real barrier — this is a senior lead position and they mean it. Your pharmacovigilance research background is genuinely relevant but your experience depth in aggregate reporting (PSURs, RMPs) is limited.

If you apply: Send to job@besttalent.dk promptly given rolling urgency. Lead with your Regulatory Science PhD and the diabetes safety surveillance studies as the closest parallel to aggregate safety assessment work. Frame it as bringing strong methodological rigour from academic pharmacovigilance into industry reporting.

🤖 Lundbeck — AI & Digital Transformation Professional 6.0/10

Role focus

Team: Corporate Product Quality, within Production Development & Supply

Core work: Develop and implement generative AI use cases within Quality processes (documentation, deviations, CAPAs); collaborate with Quality experts, IT, and digital teams; build AI capabilities and support adoption across the function

Level: Entry-level / early career (0–2 years experience) — explicitly a graduate-level role

Contract

Type: Permanent

Location: Copenhagen, Denmark

Deadline: May 15, 2026

Contact: Paul Hansen, Project Director (PUHN@lundbeck.com)

Matches

  • Life sciences / data science degree (far exceeds requirement)
  • Hands-on generative AI and LLM experience
  • Pharma/regulatory science context — GxP awareness
  • Interest in building AI tools in clinical/pharma settings
  • Collaborative, stakeholder-facing research experience

Real concerns

  • PhD-level candidate for a 0–2 year graduate role — overqualified
  • Quality processes (deviations, CAPAs) are outside your background
  • Likely lower salary ceiling given entry-level framing
  • Role is more implementation support than engineering

Transferable

  • LLM pipeline experience → generative AI use case building
  • Regulatory science PhD → GxP mindset from day one
  • Research tool building → practical AI solution delivery

Low-effort application — worth a try, but temper expectations on level fit

Honest assessment: Lundbeck is hiring for someone early-career curious about AI. You are a PhD with real LLM project experience. They may see you as overqualified; alternatively, they may see your technical depth as a bonus. The role description mentions only "a few lines of motivation" — low investment to apply.

If you apply: Keep the motivation minimal and lean into AI enthusiasm and pharma curiosity. Don't oversell the PhD — frame it as scientific rigour applied to practical AI implementation.

📊 Hempel — Data Analyst 5.5/10

Role focus

Team: Marine Data & Technology

Company: Global coating manufacturer — marine, decorative, infrastructure, energy. Founded Copenhagen 1915, owned by Hempel Foundation.

Core work: Maintain and improve BI tools; develop Power BI dashboards; analyse marine coating performance data; conduct statistical analyses; train colleagues on BI tools; advise global clients on hull coating upgrades, sustainability, and regulatory strategies

Contract

Type: Permanent

Location: Copenhagen, Denmark

Deadline: Not specified

Apply: Via Workday portal — CV + motivation letter in English

Technical matches

  • Statistical analysis and data science skills
  • Python and R proficiency
  • Large-scale data analysis and visualisation experience
  • Analytical rigour and scientific communication

Notable gaps

  • Completely different domain — marine coatings, no life science
  • No Power BI or BI tooling experience
  • Role is primarily BI/reporting, not advanced statistics or modelling
  • PhD-level candidate for what is a generalist analyst role
  • Client-advisory angle differs from research background

Transferable

  • Statistical analysis → coating performance analytics
  • Data visualisation experience (Three.js) → BI mindset
  • Client communication → translating data for non-technical stakeholders

Lowest priority — apply only if bandwidth allows

Honest assessment: This is the weakest domain fit in the batch. Marine coatings is far from your background, the role centres on Power BI tooling you haven't used, and it sits below your qualification level. The statistical work is present but not the focus. Apply if the other roles thin out or if you're genuinely drawn to the marine sustainability angle.

🎧 Demant / Eriksholm Research Centre — Scientist, Computational Audiology & ML 8.5/10

Role focus

Centre: Eriksholm Research Centre — Oticon's R&D arm, 35+ scientists, world-leading audiological research data access

Core work: ML models for computational audiology — predicting hearing aid satisfaction and outcomes from real-world data; decision-support models for clinical efficiency; translating research data into scalable, deployable representations; clustering and population-level labelling of in-market fitting data

Data: Experience sampling studies (Eriksholm) + large-scale in-market data on Demant cloud platforms

Contract

Type: Permanent

Location: Snekkersten (partly Smørum), Denmark

Deadline: May 17, 2026

1st interviews: 27, 29 May & 1 June

Contact: Sergi Rotger Griful — segr@eriksholm.com

Qualifications sought

  • PhD in Applied ML, Mathematical Modelling, Computer Science, Data Science / Data Engineering, Biostatistics, or Social Data Science
  • Early-career researcher (within ~5 years of PhD)
  • Applied ML on real-world data
  • Solid programming, statistical, and data engineering skills
  • Experience translating analytical methods into operational algorithms
  • Research output appropriate to career stage (publications, software, etc.)

Key responsibilities

  • Develop ML models for translational audiological applications
  • Bridge Eriksholm research data and Demant cloud platforms
  • Collaborate with scientists, audiologists, clinicians, industry partners
  • Support R&D through scientific documentation and demonstrators
  • Publish in peer-reviewed journals and present at audiology conferences

Exceptional matches

  • PhD in Real-World Studies + MSc Social Data Science — explicitly listed qualifying field
  • Early-career researcher (within 5 years of PhD ✓)
  • Applied ML on real-world health data (exact framing)
  • Python, R — full ML stack proficiency
  • Peer-reviewed publications appropriate to career stage
  • Experience translating analysis into deployable outputs (Three.js network project)
  • Longitudinal and experience-sampling data familiarity
  • Cross-disciplinary collaboration with clinicians and non-technical stakeholders

Gaps

  • No audiology or hearing care domain knowledge
  • No cloud platform experience (AWS, GCP, Azure) explicitly
  • No hearing aid fitting data experience
  • Location: Snekkersten is ~45 min from Copenhagen by train

Directly transferable

  • Large-scale real-world data ML → hearing aid in-market data
  • Treatment outcome prediction (SSRIs) → hearing aid satisfaction prediction
  • Population-level clustering and subgroup analysis → audiological population labelling
  • LLM pipeline + Three.js project → translating models into operational demonstrators
  • Cross-disciplinary clinical collaboration → audiologist & clinician partnerships
  • Peer-reviewed publications → strong track record for a research centre role

Strong application — your MSc is explicitly named, your ML profile maps well, and the research culture fits

Key differentiator: Most applicants will be ML engineers without a research publication track record, or researchers without strong engineering depth. You sit at the intersection — an MSc in Social Data Science (explicitly listed), a PhD with peer-reviewed output, real-world data ML experience, and demonstrated ability to build end-to-end systems. That combination is unusual.

Domain gap strategy: The role is fundamentally about ML on real-world longitudinal data — the fact that the data is audiological rather than pharmacoepidemiological is a detail, not a disqualifier. Frame your SSRI outcome prediction work (predicting treatment response from registry data) as directly parallel to predicting hearing aid satisfaction from usage data. Both are treatment outcome prediction problems on observational, real-world cohorts.

Cover letter angle: Lead with the methodological parallel — real-world data, treatment outcomes, longitudinal population-level modelling — then acknowledge the domain shift as intentional and explain why hearing care research interests you. Eriksholm explicitly values research integrity and taking chances; that culture suits your profile well.

Note: Deadline is May 17 — same as the psychiatry statistician. Both deserve strong applications; this one may have higher upside given the research environment and the explicit MSc field match.

Recommended application order

# Position Why this order Action needed
RWD Steward Manager — Novo Nordisk Submitted Apr 23. Done
🎯 Clinical Data & AI Engineer — ALK Applied Apr 23 — interview secured. Prepare for interview
Safety Surveillance Specialist — Novo Nordisk Closed Apr 27 — not applied. Closed
Senior COA Manager — Novo Nordisk Closed Apr 28 — not applied. Closed
1 Clinical Data Manager — ALK Closes May 3 — 3 days. Short motivation letter only. CV + short motivation letter via EasyCruit by May 2
2 Analyst/Senior Analyst RWE — Signum Life Science Rolling — near-perfect fit (9.0/10). Earlier is better. Email CV + motivation to acfj@signumlifescience.com
3 Statistician / Senior Statistician — Copenhagen Research Centre for Biological & Precision Psychiatry Strong fit (9.0/10). Deadline May 17 — 17 days. Full application package required. Cover letter + CV + diplomas + publication list → Region H portal by May 16
3 Scientist, Computational Audiology & ML — Demant / Eriksholm Strong fit (8.5/10). MSc Social Data Science explicitly listed. Deadline May 17 — same day as psychiatry role. Research environment, publications valued. CV + cover letter via Demant careers portal by May 16
4 Senior CDM Professional — Novo Nordisk Good fit (7.5/10). Closes May 4 — 4 days. Senior-level CDM; regulatory science background helps. CV + cover letter via Novo Nordisk careers portal by May 3
5 Safety Data Analysis & Reporting Lead — Ascendis Pharma Rolling, recruiter says high urgency. Fit 6.5/10 — 5+ years PV requirement is a stretch. Email to job@besttalent.dk, mark "1941 / Safety Data Analysis and Reporting Lead"
6 AI & Digital Transformation Professional — Lundbeck Fit 6.0/10. Entry-level role — you are overqualified, but AI-in-pharma angle is interesting. Closes May 15. CV + few lines motivation via Lundbeck careers portal by May 14
7 Data Analyst — Hempel Lowest fit (5.5/10). Marine domain mismatch; BI/Power BI focus differs from your analytical stack. Apply only if other options thin out. CV + motivation letter via Workday portal