Computational Biologist Job at Amaris Consulting (Toronto)

Computational Biologist

The Lauberth Lab in the Department of Biochemistry & Molecular Genetics at North...

Location

United States

Salary:

61000.00 - 80000.00 USD / Year

jobRxiv

Expiration Date

Until further notice

Requirements

Ph.D. (or equivalent, or near completion) in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field
Strong proficiency in R, Python, and UNIX/Linux command-line environments
Demonstrated experience analyzing NGS data (e.g., RNA-seq, ChIP-seq, or ATAC-seq)
Familiarity with common bioinformatics tools (e.g., STAR, Bowtie2, HISAT2, MACS2, DESeq2, edgeR, HOMER, BEDTools)
Solid understanding of statistics and data visualization for biological data

Job Responsibility

Process, analyze, and integrate multi-omic data (RNA-seq, ChIP-seq, ATAC-seq, eCLIP, TT-seq, Hi-C, proteomics, metabolomics)
Perform quality control, alignment, differential expression/peak calling, and pathway enrichment analyses
Develop and maintain reproducible bioinformatics pipelines using R, Python, and/or shell scripting
Generate visualizations and statistical summaries to support figures and presentations
Curate, organize, and maintain large-scale datasets and metadata for ongoing projects
Work closely with wet-lab researchers to design experiments informed by computational results
Interface with sequencing, proteomics, metabolomics, and other cores to ensure data quality and compatibility
Document workflows and analyses for internal reports, publications, and grant submissions
Prepare analytical summaries, figures, and tables for manuscripts, talks, and grants
Present results in lab meetings and cross-disciplinary project meetings

Fulltime

New

Postdoctoral Bioinformatician / Computational Biologist

Postdoctoral researcher with strong computational and bioinformatics expertise t...

Location

Czech Republic , Prague

Salary:

Not provided

jobRxiv

Expiration Date

Until further notice

Requirements

PhD in bioinformatics, computational biology, genomics, or related discipline
Strong programming skills in Python and/or R
Experience with RNA-seq data analysis and statistical methods
Track record of peer-reviewed publications
Good communication skills in English

Job Responsibility

Develop and implement computational pipelines for transcriptomic data analysis
Perform integrative multi-omics analyses and network-based approaches
Collaborate with experimental colleagues on target validation studies
Prepare scientific publications and contribute to grant applications
Present findings at international conferences

What we offer

Guidance for fellowship applications
Support in project management
Competitive MSCA allowance or EMBO stipend upon successful funding
Access to high-quality, unique datasets
Interdisciplinary research environment
Opportunities for career development, conference attendance, and independent project development
5 weeks vacation + 3 sick days
Multisport/Edenred
on-site gym and squash court
parking

Fulltime

Staff Computational Biologist

As a Staff Computational Biologist at Aignostics, you will own how we process, m...

Location

Germany , Berlin

Salary:

Not provided

Aignostics

Expiration Date

Until further notice

Requirements

Ph.D. or MSc. in computational Biology/Bioinformatics
3+ years of relevant experience in industry settings, either biotech or pharmaceutical industry
Proven track record of publications in computational oncology
Advanced skills in Python and R, ability to prototype analyses and solutions effectively
Passion for highest scientific standards and the ever-evolving field of computational oncology
Broad multi-omics expertise (DNA, RNA (incl. scRNAseq, spatial transcriptomics), CRISPR, ChIP-seq, methylation, proteomics), established experimental techniques and fit for purpose statistical analyses
In-depth knowledge of cancer biology and genetics
Excellent communication for broad audiences, teamwork, and data visualization skills
Strong learning agility and scientific rigor

Job Responsibility

Own our various *omics data processing pipelines within our code ecosystem, continuously improving and harmonizing them
Contribute to developing Python-based pipelines for processing proteomic, genomic, transcriptomic, and epigenetic data at large scale
Consult our drug discovery and translational research teams in best practices, feasibility of computational Biology analyses, and presentation of biological data
Elevate insights from machine learning models into concrete biological hypotheses that you validate in-silico, leveraging public and proprietary data sources
Educate and mentor team members on latest advances in the field and continue to be up to date on advances in computational Biology methodology for oncology research

What we offer

Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
Work with a welcoming, diverse and highly international team of colleagues
Opportunity to take responsibility and grow your role within the startup
Expand your skills by benefitting from our Learning & Development budget, language classes and internal development programs
Mentoring program, you’ll learn from great experts
Flexible working hours and teleworking policy
30 paid vacations days per year
We are family & pet friendly and support flexible parental leave options
Pick a subsidized membership of your choice among public transport, sports and well-being
Enjoy our social gatherings, free lunches, and off-site events for a fun and inclusive work environment

Postdoctoral Fellow

Multiple funded postdoctoral fellow positions are available for highly motivated...

Location

United States

Salary:

70000.00 - 100000.00 USD / Year

jobRxiv

Expiration Date

Until further notice

Requirements

Ph.D. in the biological sciences (immunology, cell or molecular biology, cancer biology or related discipline)
Strong background in cellular and molecular biology techniques
Capable of working independently
Excellent communication and writing skills

Job Responsibility

Gain research experience in cellular and molecular biology, tumor microenvironment and immunology, mouse models of cancer, and translational research using human biospecimens
Publish research findings in high impact journals
Present work at national and international meetings
Work in an inter-disciplinary, productive and highly collaborative environment
Interact with basic scientists, computational biologists, translational researchers and clinicians

Fulltime

Head of Translation

NewLimit is recruiting a Head of Translation to lead our therapeutic programs fr...

Location

United States , South San Francisco

Salary:

Not provided

NewLimit

Expiration Date

Until further notice

Requirements

Ph.D. in molecular biology, developmental biology, chemistry or a related discipline or M.D./Pharm.D. and relevant clinical training or ≥5 years of equivalent industry experience
Experience leading therapeutic programs through the investigational new drug application process
History of technical contributions to therapeutic programs as a biologist, chemist, or computational scientist
Experience managing substantial budgets and making go/no-go decisions

Job Responsibility

Lead preclinical development and preparing regulatory filings (IND, CTNs, and others) for reprogramming medicines. You will be the primary owner of progress for our therapeutic assets
Manage all Therapeutic Area teams and coordinate with others to establish preclinical models, validate payloads, and complete development candidate selections
Solve the logistical bottlenecks that block progress of our therapies. This may involve coordinating CMC timelines, planning study schedules, or sourcing precious preclinical samples. You will get your hands dirty
Serve as a member of NewLimit’s Executive Team and contribute to budgeting, goal setting, and technical review decisions
Recruit, manage, and mentor scientists and therapeutic developers throughout the company

What we offer

Health, dental, and vision insurance
401(k) with company match
Industry-leading paid time off (PTO) -- 20 days/year for all employees + holidays
Paid parental leave
Meals and snacks on-site

Fulltime

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

Computational Scientist

The Bioinformatics Innovation Hub is a cross-Altos team working on challenging a...

Location

United Kingdom , Cambridge

Salary:

55250.00 - 117500.00 GBP / Year

Altos Labs

Expiration Date

Until further notice

Requirements

PhD in a quantitative field (e.g. computational biology, mathematics, physics) with significant biological background OR a PhD in the life sciences with significant computational experience
Extensive knowledge of multi-modal data analysis
Proficiency in Python and/or R, Linux. Hands-on skills using data science packages (for instance, Pandas, Scikit-learn, NumPy, Tidyverse, Caret)
Statistical analysis background
Excellent communication skills. Ability to present complex computational methods to non-experts
Established ability to translate biologists’/project team’s scientific questions into analytical strategies and methods
Strong collaboration skills and ability to work as part of a team in an international and interdisciplinary environment
Outstanding organisational skills and the ability to work independently
Familiarity with databases/resources relevant to drug discovery

Job Responsibility

Collaborate closely with domain knowledge experts to plan and design studies to elucidate molecular phenotypes of cellular health, rejuvenation and reprogramming
Focus on FAIR data principles in the processing of internal and external NGS sequencing data, data organisation and metadata capture to enable efficient downstream data consumption
Generate insights and models from multi-omics datasets to understand patterns, trends and relationships within data to inform decision-making and solve problems
Develop and implement state of the art statistical, ML and AI methods for large scale data processing and analysis
Produce informative visualisations of complex analyses and embed these in automated and bespoke reports and interactive dashboards
Partner with other scientists to establish automated, robust and efficient analytical pipelines for reproducible research and to champion the integration of data science into biological discovery
Work with IT and data engineering teams to run analyses at scale in high-performance computing and cloud environments
Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches

Fulltime

Postdoctoral fellow

The Osmanbeyoglu Lab at the University of Pittsburgh School of Medicine is recru...

Location

United States

Salary:

Not provided

jobRxiv

Expiration Date

Until further notice

Requirements

Ph.D. in machine learning, AI, data science, computer science, or a related quantitative field
Strong programming skills in Python (experience with PyTorch, TensorFlow, or JAX preferred)
R a plus
Experience with deep learning architectures (e.g., GNNs, representation learning, attention models)
Comfort working in Linux/HPC environments and with large-scale datasets
Interest in applying ML to scientific problems
prior experience with biological data is not required
Strong communication skills and ability to work across disciplines

Job Responsibility

Develop novel machine learning and deep learning methods—including graph neural networks, attention-based models, multimodal learning, and interpretable AI—to analyze large-scale single-cell and spatial transcriptomics datasets
Infer context-specific regulatory programs that drive cancer progression and end-stage disease
Rigorous algorithmic development, interpretability, and benchmarking on real, noisy, high-dimensional data
Method development and biological discovery
Work in close collaboration with experimental biologists, pathologists, and clinicians

Fulltime

Computational Biologist

Amaris Consulting

Location:
Canada , Toronto

Category:
-

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 17, 2025

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