CAREERS
We have our 300+ top scientists and talents hired through hackathons and competitions worldwide in the U.S., Greater China, Canada, and the Middle East.
We are looking for
Place of work
Level 6, Unit 08, Block A, IRENA HQ Building Masdar City, Abu Dhabi United Arab Emirates
*You must be based in Abu Dhabi for this role. If you’re currently in Dubai, you must be willing to relocate, as commuting between the two cities won’t be feasible for this position*
About Role
We are looking for people to help us develop research-grade AI systems and train LLMs with a solid grasp of the biological ground truth. Your primary task will be developing the pipeline that would inject biological knowledge into LLMs (https://insilico.com/MMAI). More specifically, you will be responsible for teaching LLMs how to reason about aging and how to discover novel anti-aging gene targets and geroprotectors.
This role requires both biological and programming background, especially in ML and AI fields. The position requires writing and submitting reviews and original research papers to Q1 journals. Other routine activities include dataset scouting and preprocessing, building PoC AI applications, systematic reviews of the current state of the LLM and aging fields, critical review of literature and methodologies.
Reports to
Senior Longevity Researcher
Responsibilities:
General Requirements:
I. Education
Master’s/PhD degree in bioinformatics, CS, or biology.
II. Experience and Skills
Please send your CV to career@insilico.com
Level 6, Unit 08, Block A, IRENA HQ Building Masdar City, Abu Dhabi United Arab Emirates
*You must be based in Abu Dhabi for this role. If you’re currently in Dubai, you must be willing to relocate, as commuting between the two cities won’t be feasible for this position*
About Role
We are looking for people to help us develop research-grade AI systems and train LLMs with a solid grasp of the biological ground truth. Your primary task will be developing the pipeline that would inject biological knowledge into LLMs (https://insilico.com/MMAI). More specifically, you will be responsible for teaching LLMs how to reason about aging and how to discover novel anti-aging gene targets and geroprotectors.
This role requires both biological and programming background, especially in ML and AI fields. The position requires writing and submitting reviews and original research papers to Q1 journals. Other routine activities include dataset scouting and preprocessing, building PoC AI applications, systematic reviews of the current state of the LLM and aging fields, critical review of literature and methodologies.
Reports to
Senior Longevity Researcher
Responsibilities:
- Identify, evaluate, and curate biological and omics datasets from public and proprietary sources
- Perform database review, annotation, harmonization, and quality control to support downstream analytical and AI workflows
- Design, develop, and validate proof-of-concept AI agentic systems for biological and biomedical research tasks
- Apply advanced bioinformatics, statistical, and machine-learning methods to extract actionable insights from complex biological data
- Author high-quality academic and scientific texts, including research manuscripts, reports, and technical documentation
- Collaborate closely with cross-functional research and engineering teams to translate scientific questions into scalable computational solutions
General Requirements:
I. Education
Master’s/PhD degree in bioinformatics, CS, or biology.
II. Experience and Skills
- 6+ years in Python (async/aiohttp, ML & stats libraries, transformers, data visualization)
- 2+ years in R, including omics-related Bioconductor packages
- 5+ years in omics & bioinformatics research, from raw data to conclusions (DEG, GSEA, survival analysis; KEGG, GO, GEO, UniProt, etc.)
- Strong knowledge of omics platforms (DNAm, transcriptomics, proteomics, single-cell)
- Research excellence: hypothesis-driven work, experimental design, advanced statistics, independent academic writing
- Aging biology expertise: aging clocks, hallmarks of aging, geroprotectors, animal models
- Proven experience with AI/ML in biology (AI agents, fine-tuned models, or public datasets/models)
- Strong AI literacy (LLMs via API, deep learning fundamentals, AI risks awareness)
- Academic publishing track record (≥5 publications/preprints; ≥2 in aging/longevity)
- C1 English (academic writing, clear communication)
- Ability to work independently, under pressure, and align research with business priorities
Please send your CV to career@insilico.com
Place of work
Level 6, Unit 08, Block A, IRENA HQ Building Masdar City, Abu Dhabi United Arab Emirates
*You must be based in Abu Dhabi for this role. If you’re currently in Dubai, you must be willing to relocate, as commuting between the two cities won’t be feasible for this position*
About Role
We are currently seeking an exceptional and mathematically grounded Machine Learning Engineer to join our Target ID team. Your primary focus will be the architectural design and training of next-generation Large Language Models (LLMs) specifically tailored for biological discovery. Unlike standard implementations, you will be expected to propose and engineer novel architectural components and optimization strategies based on deep mathematical principles. You will bridge the gap between theoretical deep learning and practical biotechnology, creating models capable of reasoning over complex biological data to identify novel therapeutic targets. A strong background in mathematics and the ability to write custom model implementations from scratch are essential for this role.
Reports to
Team Lead
Responsibilities:
General Requirements:
I. Education
Master's or Ph.D. degree in Mathematics, Computer Science, Physics, Machine Learning, or a related quantitative field.
II. Experience and Skills
Please send your CV to career@insilico.com
Level 6, Unit 08, Block A, IRENA HQ Building Masdar City, Abu Dhabi United Arab Emirates
*You must be based in Abu Dhabi for this role. If you’re currently in Dubai, you must be willing to relocate, as commuting between the two cities won’t be feasible for this position*
About Role
We are currently seeking an exceptional and mathematically grounded Machine Learning Engineer to join our Target ID team. Your primary focus will be the architectural design and training of next-generation Large Language Models (LLMs) specifically tailored for biological discovery. Unlike standard implementations, you will be expected to propose and engineer novel architectural components and optimization strategies based on deep mathematical principles. You will bridge the gap between theoretical deep learning and practical biotechnology, creating models capable of reasoning over complex biological data to identify novel therapeutic targets. A strong background in mathematics and the ability to write custom model implementations from scratch are essential for this role.
Reports to
Team Lead
Responsibilities:
- Design, propose, and implement novel neural network architectures beyond standard Transformers (e.g., modifying attention mechanisms or positional encodings).
- Derive and implement custom loss functions and optimization algorithms based on mathematical first principles to improve model convergence on biological data.
- Lead the end-to-end training lifecycle of domain-specific LLMs, including Pre-training, Supervised Fine-Tuning (SFT), and Reinforcement Learning (RLHF).
- Collaborate with the Target ID team to translate complex biological questions into precise mathematical formulations solvable by AI.
- Develop strategies to ground LLM generation in factual data, mitigating hallucinations in high-stakes drug discovery contexts.
- Optimize training pipelines for high-performance computing clusters using distributed training techniques.
- Stay up-to-date with the latest advancements in Generative AI, Information Theory, and Computational Biology.
- Work collaboratively with biologists and bioinformatics specialists to validate model hypotheses.
General Requirements:
I. Education
Master's or Ph.D. degree in Mathematics, Computer Science, Physics, Machine Learning, or a related quantitative field.
II. Experience and Skills
- 3-4 years of experience in Machine Learning;
- Deep theoretical understanding of Linear Algebra, Calculus, Probability Theory, and Information Theory.
- Expert proficiency in Python and deep learning frameworks (PyTorch, Transformers), with the ability to implement custom layers and training loops from scratch.
- Proven experience in training and architecting Transformer-based models and LLMs.
- Ability to read and implement methods from the latest AI research papers.
- Familiarity with biological data types (sequences, structures, pathways) is a significant advantage, but not mandatory if the mathematical foundation is strong.
- Strong problem-solving skills and a passion for algorithmic innovation.
- Excellent written and oral communication skills for explaining complex mathematical concepts to cross-functional teams.
Please send your CV to career@insilico.com
Place of work
Level 6, Unit 08, Block A, IRENA HQ Building Masdar City, Abu Dhabi United Arab Emirates
About Role
We are looking for a Bioinformatics / Backend Engineer to join our OMICs team and contribute to the development of scalable data pipelines, APIs, and product features supporting large-scale multi-omics data.
The role combines bioinformatics expertise with backend engineering, working closely with product managers, data scientists, and research teams.
Reports to
OMICs Team Leader
Responsibilities:
1. Omics Data Processing & Pipelines
General Requirements:
I. Education
Master’s degree or PhD degree in Bioinformatics, Computational Biology, Biology, Computer Science, or a related field.
II. Experience and Skills
Nice to Have
Please send your CV to career@insilico.com
Level 6, Unit 08, Block A, IRENA HQ Building Masdar City, Abu Dhabi United Arab Emirates
About Role
We are looking for a Bioinformatics / Backend Engineer to join our OMICs team and contribute to the development of scalable data pipelines, APIs, and product features supporting large-scale multi-omics data.
The role combines bioinformatics expertise with backend engineering, working closely with product managers, data scientists, and research teams.
Reports to
OMICs Team Leader
Responsibilities:
1. Omics Data Processing & Pipelines
- Develop and maintain data processing pipelines for diverse omics data types (bulk RNA-seq, proteomics, single-cell, epigenomics, etc.) from public resources.
- Implement pipelines using Python and Airflow, and selected R components where appropriate.
- Ensure robustness, reproducibility, and scalability of data processing workflows.
- Participate in the development of omics-related product features, collaborating closely with product and engineering teams.
- Implement backend logic using Python and Django.
- Design and extend internal and external APIs used by company products and research teams.
- Work with large-scale omics datasets stored in PostgreSQL and AWS S3 as part of the company Data Warehouse (DWH).
- Contribute to data modeling, versioning strategies, and performance optimization.
- Ensure data consistency and traceability across pipelines and product layers.
- Develop and support data annotation and normalization workflows, including LLM-based agents for metadata curation.
- Collaborate with domain experts to improve annotation quality, coverage, and consistency.
- Bioinformatics algorithms
- Data processing and analysis
- Interpretation of omics results
- Act as a technical point of contact for omics-related questions within cross-functional teams.
General Requirements:
I. Education
Master’s degree or PhD degree in Bioinformatics, Computational Biology, Biology, Computer Science, or a related field.
II. Experience and Skills
- 3-4 years of experience in Python. E.g. for data processing and backend development;
- 3-4 years of experience in OMICs data analysis and biological data formats;
- Advantageously experience building or maintaining data pipelines (e.g., Airflow or similar tools);
- PostgreSQL and cloud storage (preferably AWS S3);
- Effective communicator both orally and in writing English;
- The ability to work autonomously and as part of a team successfully;
- Ability to problem solve and think outside the box.
Nice to Have
- Experience with single-cell omics or large-scale public datasets (GEO, SRA, ArrayExpress, etc.).
- Familiarity with Django REST Framework.
- LLM-based data annotation or automation tools.
- Knowledge of data warehousing concepts and analytical data models.
- Exposure to production-level bioinformatics platforms or biotech products.
Please send your CV to career@insilico.com
Place of work
Montreal, Canada or Abu Dhabi, UAE
About Role
Insilico Medicine is looking for a Machine Learning Engineer specializing in Natural Language Processing (NLP) tasks within the biomedical and materials science domains. The role focuses on areas such as text classification, information extraction from abstracts, patents, and clinical trials, multi-task learning, knowledge graph construction, and fine-tuning large language models (LLMs) for chemical and biomedical applications.
Reports to
NLP Team Lead (AI R&D)
Responsibilities:
General Requirements:
I. Education
Master’s degree or PhD in Computer Science, Machine Learning, or a related field.
II. Experience and Skills
Desirable skills:
Personal Attributes:
Please send your CV to career@insilico.com
Montreal, Canada or Abu Dhabi, UAE
About Role
Insilico Medicine is looking for a Machine Learning Engineer specializing in Natural Language Processing (NLP) tasks within the biomedical and materials science domains. The role focuses on areas such as text classification, information extraction from abstracts, patents, and clinical trials, multi-task learning, knowledge graph construction, and fine-tuning large language models (LLMs) for chemical and biomedical applications.
Reports to
NLP Team Lead (AI R&D)
Responsibilities:
- Fine-tune and optimize Large Language Models on domain-specific or custom datasets.
- Analyze errors, identify system limitations, and propose enhancements.
- Search and review state-of-the-art solutions and new datasets for NLP tasks.
- Design scalable and maintainable engineering solutions inspired by the latest research and innovation.
- Translate academic innovation into scalable, maintainable engineering solutions.
- Build and curate datasets using annotation tools, distant supervision, and expert annotations.
- Collaborate closely with clients and internal stakeholders to align research-driven initiatives with business needs.
General Requirements:
I. Education
Master’s degree or PhD in Computer Science, Machine Learning, or a related field.
II. Experience and Skills
- 3+ years of hands-on experience in NLP, Machine Learning, and Deep Learning.
- Strong understanding of Machine Learning, Deep Learning and AI.
- Strong proficiency in Python programming.
- Motivation to learn new things and apply creative solutions.
- Hands-on experience in scaling and optimizing large language model (LLM) training and fine-tuning, including multi-GPU/multi-node setups.
- Familiarity with frameworks like DeepSpeed, FSDP, Megatron-LM, or equivalent.
- Ability to diagnose and resolve performance bottlenecks in distributed training.
- Experience fine-tuning LLMs (e.g. GPT, LLaMA, Mistral) on custom or domain-specific datasets.
Desirable skills:
- Knowledge of chemistry and biology, particularly for domain-specific NLP applications in life sciences.
- Familiarity with Reinforcement Learning concepts and frameworks.
Personal Attributes:
- Motivation to explore and apply creative, cutting-edge solutions.
- Strong communication and collaboration skills.
- Ability to work independently in a dynamic, fast-paced environment.
Please send your CV to career@insilico.com
We are looking for a few Business Development Manager(s) with Big Pharma, drug discovery, AI, tech, and data sales backgrounds, and strong industry networks, combined with the ambition to challenge how drug discovery is done. This role is for commercially driven professionals who understand science & technology, can navigate complex organizations, and are comfortable operating at the intersection of AI and drug discovery.
We are open to candidates at different career stages. Exceptional recent graduates or junior BD professionals with strong AI fluency and commercial drive are encouraged to apply. Scope and level will be adjusted based on experience.
Place of work
Fully remote, open globally (Preferred: Japan, South Korea, Europe)
About Role
We are scaling our Business Development team and are looking for commercially strong, technically fluent BD Manager(s) who want to help shape the adoption of AI-driven platforms globally.
This role is focused on outbound pipeline development and strategic partnerships for our AI platforms. You will operate independently, represent advanced AI technologies at global conferences, and engage directly with senior scientific and executive stakeholders.
Insilico is AI-native. You are expected to use LLMs and AI agents in your daily workflow, prospect research, segmentation, campaign personalization, follow-ups, competitive analysis, and CRM optimization.
We value data-driven thinking. Claims must be backed by evidence. Understanding AI benchmarks and being able to articulate validated performance metrics is critical when engaging with Insilico Medicine’s clients.
Career Level Flexibility
While this role is designed for commercially experienced professionals, we recognize that exceptional early-career candidates may also bring strong potential. High-performing recent graduates or junior BD professionals with demonstrated commercial initiative, strong AI literacy (including active use of LLMs or AI tools), and a clear interest in AI-driven drug discovery are encouraged to apply. Scope, responsibility level, and title may be calibrated based on experience and demonstrated capability.
Key Responsibilities:
Required Experience:
Industry Background
AI & Benchmark Proficiency (Required)
Bonus Experience
Profile We’re Looking For
Why This Role
You will join a fully remote, global team driving strategic partnerships around validated AI technologies that are actively shaping the future of drug discovery. This role offers ownership, visibility, and measurable commercial impact. If you are comfortable building a pipeline from scratch, leveraging AI to operate efficiently, and positioning technology with data-backed credibility, this is a high-upside opportunity.
How To Apply
Instead of a cover letter, all candidates are required to submit a short Business Development exercise.
As part of the application:
Please submit your CV and the draft of your outbound email campaign as described above. Applications without the exercise will not be reviewed.
Candidates are welcome to attach a cover letter if they wish; however, it is optional and will not replace the required BD exercise.
Questions
For inquiries regarding this position, please contact: Aisyah Sjöholm at aisyah@insilicomedicine.com with the subject line: Open Position: BD Manager - Name .
We are open to candidates at different career stages. Exceptional recent graduates or junior BD professionals with strong AI fluency and commercial drive are encouraged to apply. Scope and level will be adjusted based on experience.
Place of work
Fully remote, open globally (Preferred: Japan, South Korea, Europe)
About Role
We are scaling our Business Development team and are looking for commercially strong, technically fluent BD Manager(s) who want to help shape the adoption of AI-driven platforms globally.
This role is focused on outbound pipeline development and strategic partnerships for our AI platforms. You will operate independently, represent advanced AI technologies at global conferences, and engage directly with senior scientific and executive stakeholders.
Insilico is AI-native. You are expected to use LLMs and AI agents in your daily workflow, prospect research, segmentation, campaign personalization, follow-ups, competitive analysis, and CRM optimization.
We value data-driven thinking. Claims must be backed by evidence. Understanding AI benchmarks and being able to articulate validated performance metrics is critical when engaging with Insilico Medicine’s clients.
Career Level Flexibility
While this role is designed for commercially experienced professionals, we recognize that exceptional early-career candidates may also bring strong potential. High-performing recent graduates or junior BD professionals with demonstrated commercial initiative, strong AI literacy (including active use of LLMs or AI tools), and a clear interest in AI-driven drug discovery are encouraged to apply. Scope, responsibility level, and title may be calibrated based on experience and demonstrated capability.
Key Responsibilities:
- Work closely with Line Manager to design and execute sales strategies (e.g., targeted email campaigns for defined segments).
- Identify target groups, build high-quality prospect lists, and generate qualified sales leads.
- Qualify interest in Insilico software products and solutions through inbound lead follow-up, outbound calling, and email outreach.
- Secure meetings and product demonstrations with prospects and existing customers.
- Handle follow-up related to the sale and drive completion of contractual documents.
- Work closely with the Legal, AI, Chemistry, Biology, R&D, and Alliance Management teams.
- Represent Insilico’s AI platforms at international conferences and industry events.
- Maintain detailed, disciplined CRM records for calls, contacts, and campaigns.
- Provide structured pipeline updates to senior management.
- Adjust outreach strategy based on evolving business priorities.
Required Experience:
Industry Background
- Experience in Big Pharma, biotech, or drug discovery, or AI solutions and data sales.
- Prior BD experience licensing or commercializing AI platform technologies (biotech, pharma, healthtech, or adjacent sectors preferred).
- Demonstrated success in B2B sales with complex, multi-stakeholder sales cycles.
- Proven ability to generate meetings and build a pipeline through outbound efforts.
- Experience selling complex technical platforms rather than transactional products.
- Comfortable engaging scientific, technical, and executive audiences.
- Strong communication and presentation skills.
- Strong networking ability and industry presence.
- CRM discipline (Salesforce experience preferred).
- Relevant Graduate/Postgraduate qualification preferred, with interest in AI/ML in drug discovery.
AI & Benchmark Proficiency (Required)
- Solid understanding of Large Language Models (LLMs).
- Actively using generative AI tools or AI agents to optimize workflow productivity.
- Ability to discuss AI-driven drug discovery platforms credibly in both technical and commercial contexts.
- Strong interest in AI benchmarking frameworks and performance validation.
- Comfortable interpreting and communicating benchmark results, objective metrics, and comparative model performance to sophisticated audiences.
- Data-driven mindset, able to differentiate validated performance from marketing claims.
Bonus Experience
- Familiarity with Insilico’s platforms (PandaOmics, Chemistry42, Generative Biologics, Science42: DORA, PreciousGPT, MMAI Gym, etc).
- Experience in pharmaceutical contract negotiation.
- Background in AI-driven drug discovery or computational platforms.
- Existing network within pharma BD or R&D leadership.
- Multilingual capabilities are a strong plus, particularly Japanese or Korean, as well as other major business languages in Europe and Asia.
Profile We’re Looking For
- Genuinely interested in Pharma.AI and platform technologies.
- Motivated by the kind of work Insilico Medicine is doing.
- Self-starter who does not require close supervision.
- Creative in sourcing and outreach strategies.
- Comfortable operating without sales scripts.
- Resilient under pressure and adaptable to shifting priorities.
- Curious, eager to learn, and a fast learner.
- Independent but accountable.
- Adaptable in a fast-moving, high-growth environment.
Why This Role
You will join a fully remote, global team driving strategic partnerships around validated AI technologies that are actively shaping the future of drug discovery. This role offers ownership, visibility, and measurable commercial impact. If you are comfortable building a pipeline from scratch, leveraging AI to operate efficiently, and positioning technology with data-backed credibility, this is a high-upside opportunity.
How To Apply
Instead of a cover letter, all candidates are required to submit a short Business Development exercise.
As part of the application:
- Select one platform (PandaOmics, Chemistry42, or Generative Biologics).
- Define your intended target audience (title, function, company type).
- Submit:
- One cold outbound email draft (150–200 words).
- One follow-up email draft.
- 1 to 2 subject line variations.
Please submit your CV and the draft of your outbound email campaign as described above. Applications without the exercise will not be reviewed.
Candidates are welcome to attach a cover letter if they wish; however, it is optional and will not replace the required BD exercise.
Questions
For inquiries regarding this position, please contact: Aisyah Sjöholm at aisyah@insilicomedicine.com with the subject line: Open Position: BD Manager - Name .
Send your CV to
career@insilico.com
career@insilico.com