Senior Scientist, Translational Biology Job at Life Science Talent (København)

Senior Principal Scientist – Target Discovery & Biology

Amgen’s Target Discovery & Biology (TD&B) organization integrates functional gen...

Location

United States , Thousand Oaks

Salary:

171106.00 - 209556.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree PhD OR PharmD OR MD [and relevant post-doc where applicable] and 3 years of directly related experience
Master’s degree and 6 years of directly related experience
Bachelor’s degree and 8 years of directly related experience
Doctorate degree in cell biology, molecular biology, biomedical engineering, or related discipline
6+ years of relevant experience in biotech or pharma, including leadership of scientific teams
Strong track record in complex in vitro model development, cell engineering, and high-throughput or automated screening
Experience with high-content imaging and transcriptional assay readouts
Demonstrated ability to collaborate with cross-functional teams to translate disease biology into experimental models
Experience with viral vector systems (AAV, lentivirus, or related technologies) for gene delivery and perturbation
Experience in leading or mentoring scientists, with proven success in project execution and team development

Job Responsibility

Provide scientific and operational leadership for a team of scientists delivering advanced in vitro models and screening-ready systems in collaboration with therapeutic area partners
Guide the design, optimization, and screen implementation of cellular models that capture disease-relevant biology, integrating insights from disease tissue profiling data
Champion partnerships with automation colleagues accelerate model deployment and reproducibility
Collaborate with Amgen therapeutic area scientists to define requirements, ensure biological relevance, and deliver systems that enable mechanistic and translational insights
Identify and implement emerging technologies in cell engineering, automation, and complex model systems to enhance the sophistication and throughput of discovery platforms
Foster a collaborative, creative, and scientifically rigorous team culture committed to delivering impact across Amgen’s pipeline

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Fulltime

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United States , Redwood City; San Diego

Salary:

260950.00 - 509450.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle
Act as a key technical mentor to Machine Learning Scientists and Engineers

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United Kingdom , Cambridge

Salary:

136000.00 - 261050.00 GBP / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
Act as a key technical mentor to Machine Learning Scientists and Engineers

Fulltime

Senior Data Scientist – Surfaceome Biology

We are seeking a highly qualified and motivated Senior Data Scientist with a str...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Any degree and 8-13 years of directly related experience
Demonstrated expertise in computational and data science method development for short- and long-read transcriptomics, polysome sequencing, proteomics, multi-omics integration, or surfaceome characterization
Strong background in machine learning and AI, including deep learning and generative modeling
experience with pre-training, fine-tuning, and few-/zero-shot learning, ideally experience with in silico modeling of cellular surface protein biology
Proven track record of applying computational methods to drive biological insights, target validation, biomarker discovery, or therapeutic hypothesis generation
Proficiency in scientific programming languages and tool development using Python, R, or similar, with familiarity in relevant libraries and frameworks
Experience with large-scale data processing using cloud computing, workflow development, and software best practices (e.g., version control, continuous integration, test-driven development)
Familiarity with agentic AI, digital innovation approaches, and FAIR data principles for building robust and scalable analytical workflows
Familiarity with molecular and disease biology, with the ability to contextualize computational findings in therapeutic discovery
Excellent analytical and communication skills, with the ability to extract and clearly present insights from complex data to diverse audiences with rigor and accuracy

Job Responsibility

Develop novel AI/ML, computational, and data science methods – including agentic AI systems – for processing, integrating, and analyzing multi-modal datasets (e.g., transcriptomics, proteomics, imaging, and single-cell multi-omics) to identify and prioritize novel and target-tissue specific cell surface antigens
Build workflows to harmonize and integrate public and internal datasets for constructing comprehensive multi-modal surfaceome atlases, and model protein expression heterogeneity across cell types, states, and spatial contexts
Design computational tools and predictive models for protein localization, topology, and internalization behavior to prioritize candidate surface proteins or antigen–ligand pairs for the discovery of multispecific antibody modalities and therapeutic payload delivery
Apply generative modeling and representation learning to propose novel antigen candidates or antigen combinations with desirable therapeutic attributes, such as accessibility, specificity, and internalization potential
Collaborate with experimental and translational teams to design and guide validation experiments, ensuring computational predictions translate into actionable biological insights

Senior Data Scientist – Perturbation Biology

We are seeking a highly qualified and motivated Senior Data Scientist with a str...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Any degree and 8-13 years of directly related experience
Demonstrated expertise in method development for functional genomics and perturbation screens, ideally with experience in single-cell omics technologies
Strong background in machine learning and AI, including deep learning, generative modeling, and transformer-based architectures
experience with pre-training, fine-tuning, and few-/zero-shot learning, ideally with experience in in silico modeling of cellular responses to drug or genetic perturbations
Proven track record of applying computational methods to drive biological insights, target validation, biomarker discovery, or therapeutic hypothesis generation
Proficiency in scientific programming languages and tool development using Python, R, or similar, with familiarity in relevant libraries and frameworks
Experience with large-scale data processing using cloud computing, workflow development, and software best practices (e.g., version control, continuous integration, test-driven development)
Familiarity with agentic AI, digital innovation approaches, and FAIR data principles for building robust and scalable analytical workflows
Familiarity with molecular and disease biology, with the ability to contextualize computational findings in therapeutic discovery
Excellent analytical and communication skills, with the ability to extract and clearly present insights from complex data to diverse audiences with rigor and accuracy

Job Responsibility

Develop and apply advanced methodologies at the intersection of functional genomics and AI/ML analytics to identify and validate novel therapeutic targets, elucidate mechanisms of action, and discover preclinical biomarkers
Provide computational and data science support for high-throughput single-cell perturbation and phenotypic screening experiments (e.g., Perturb-seq) to map gene–phenotype relationships, uncover disease drivers, and prioritize hits for validation
Drive digital innovation by identifying gaps in analytical workflows and developing robust, reproducible, and FAIR solutions that improve data interpretability, strengthen readout confidence, and accelerate therapeutic hypothesis generation
Build and apply machine learning, deep learning, and generative AI approaches to simulate cellular responses to single or combinatorial genetic and non-genetic perturbations, delivering fit-for-purpose predictions that reduce experimental burden and accelerate therapeutic hypothesis generation
Collaborate closely with experimental biologists and translational teams to ensure computational predictions align with experimental design and biological context, enabling testable target and biomarker hypotheses
contribute to the design of perturbation experiments so that computational and experimental approaches inform and strengthen each other

Senior Target Discovery and Validation Scientist

As a Senior Target Discovery and Validation Scientist, you will become part of a...

Location

Denmark , Copenhagen

Salary:

Not provided

Life Science Talent

Expiration Date

February 16, 2026

Requirements

Identify, prioritize, and validate novel therapeutic targets suitable for antibody-based modalities
Design and execute experimental target validation strategies
Oversee and interpret in vitro and in vivo validation studies with internal or external partners
Prepare applications for non-dilutive funding - including outreach to potential collaboration partners
Translate biological data into clear go/no-go decisions
Contribute to IP generation
Mentor junior scientists and help establish discovery workflows in a startup environment
Ad hoc assistance with various projects tasks
Assist with Power Point presentations
Administrative ad hoc task

Job Responsibility

Lead the biological target identification and validation efforts across multiple therapeutic areas
Secure non-dilutive funding for development of additional assets

What we offer

Purpose-driven community
Entrepreneurial environment
Access to laboratory facilities, office space, and BII’s network of industry experts, investors, and advisors
Opportunity to develop bio entrepreneurial skills
Dynamic, supportive environment where you can grow
Diversity, inclusion, and well-being at the core of operations

Fulltime

!

Senior Principal Scientist, Neurodegeneration

We are seeking a highly motivated and talented scientific laboratory leader with...

Location

United States , Upper Providence, Collegeville

Salary:

Not provided

GSK

Expiration Date

Until further notice

Requirements

PhD in Biochemistry, preferably in Alzheimer’s disease with 5+ years drug discovery experience in industry
Three or more years of experience in leading biology studies in early-stage drug discovery projects
Three or more years of experience in protein isolation from iPS derived cells, human brain/biofluid samples, and characterization using biochemical and mass spectrometric methods
8+ years’ experience working with iPSC derived CNS cells and standard laboratory techniques such as cell biology, molecular biology and biochemistry
5+ years’ experience in developing assays to investigate target mechanisms/ biology preferably in Alzheimer’s disease using iPSC derived cells in 2D- configuration
3+ years’ experience in using AI/ML tools to develop biological/mechanistic hypothesis using omic datasets

Job Responsibility

Lead biology studies both from/off-bench to support discovery projects by developing target – disease biology hypothesis, establishing and performing in vitro iPSC derived CNS cells/ ex vivo cellular assays primarily using biochemistry expertise combined with molecular and cell biology
Develop novel assays with high translational value to interrogate target or disease biology
Develop testable target and biomarker hypothesis based on Omics data
Optimize and perform in vitro assays to support lead optimization of molecules
Work collaboratively with matrix partners to lead workstreams towards project milestone
Periodically update work status to project teams, matrix partners, and senior stakeholders
Manage time efficiently and be productive when there are competing priorities
Be compliant with GSK policies and SOPs including recording electronic laboratory notebooks, maintaining safety while working in the lab

Fulltime

New

Research Scientist – Neuro-Regenerative Assays

This role sits at the scientific core of the company’s neuro-regenerative strate...

Location

Denmark

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

PhD (highly preferred) or MSc in Neuroscience, Cell Biology, or a related life science discipline
Proven hands-on experience culturing neural cells
Direct experience developing and running neuro-regenerative assays, particularly: Neurite outgrowth assays
Imaging-based neuro assays
Strong manual dexterity and precision for delicate laboratory work
A clear preference for bench work and experimental ownership

Job Responsibility

Design, develop, and optimize robust human in vitro neuro-regenerative assays, with a primary focus on neurite outgrowth, nerve repair, and regenerative capacity
Establish a best-in-class neuro-regeneration assay platform that becomes foundational for MoA studies and regulatory documentation
Generate high-quality, reproducible, and biologically meaningful neuro-regenerative data that directly informs development decisions
Lead the transition from exploratory ex vivo mouse-based assays to standardized human cell-based in vitro models, increasing translational and clinical relevance
Ensure assays reflect human neurobiology and regenerative mechanisms, rather than purely academic endpoints
Perform intensive laboratory work including neural cell culture, imaging-based assays, and quantitative analysis
Execute precision manual techniques, such as micro-dissection or delicate work under the microscope, requiring strong dexterity and focus
Apply imaging and data analysis to assess neurite length, branching, and regenerative phenotypes
Generate MoA-defining neuro-regenerative data for the company’s lead cell therapy
Contribute ideas and experimental insight while remaining strongly execution-oriented

Senior Scientist, Translational Biology

Life Science Talent

Location:
Denmark , København

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 11, 2026

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