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BioTalent

BioTalent

www.biotalent.com

8 Jobs

71 Employees

About the Company

We are BioTalent, the life sciences recruitment specialists with the means to nurture change-makers.

Our expert consultants focus on Medical Communications, Healthcare Advertising and public Relations, Market Access, Research and development, Data Science & AI, Clinical, Regulatory, Engineering & CQV, Manufacturing & Operation, Quality, Medical and Drug Safety, and Commercial.

We have a global reach, with offices in the UK (London), Switzerland (Zug), and the USA (New York, San Diego, Miami and Boston).

We are part of The IN Group a collection of specialist talent brands – Investigo, InX, Definia, Caraffi, Sigma Labs and BioTalent – who partner with our clients to solve their talent challenges, across the UK, Europe and North America.

Are you ready to find your calling in the life sciences? Reach out to us directly to find your next opportunity, or visit https://www.biotalent.com/ to find out more.

Listed Jobs

Company background Company brand
Company Name
BioTalent
Job Title
Software Engineer
Job Description
Job title: Software Engineer – Research Engineering Role Summary Build and maintain software tooling and infrastructure that enable rapid, iterative neuroscience and machine‑learning research. Deliver real‑time, time‑series data processing systems, support cloud‑based experimentation workflows, and collaborate closely with engineering, neuroscience, and clinical teams. Expectations * 1–5 years of professional software development experience * Strong proficiency in Python * Practical experience with time‑series data (sampling rates, real‑time processing) * Willingness to maintain an active office presence * Bonus: cloud infrastructure, front‑end/Swift, basic ML, robotics or platform engineering background Key Responsibilities * Design, develop, and maintain research tooling and infrastructure for fast experimental cycles * Build user‑facing systems for real‑time time‑series data processing * Support cloud environments and machine‑learning experimentation workflows * Collaborate cross‑functionally with engineering, neuroscience, and clinical teams to integrate research needs into production tools Required Skills * Python programming * Time‑series data management and real‑time processing * Familiarity with cloud platforms (AWS, GCP, Azure) – preferred * Ability to work in a rapid, feedback‑rich environment * Strong communication and teamwork skills Required Education & Certifications * Bachelor’s degree in Computer Science, Electrical Engineering, or related field (equivalent experience considered)
Brooklyn, United states
On site
Fresher
26-11-2025
Company background Company brand
Company Name
BioTalent
Job Title
Clinical Trial Administrator
Job Description
**Job Title**: Clinical Trial Administrator **Role Summary** Provide daily operational and administrative support to clinical research teams, ensuring the completeness, quality, and inspection readiness of Trial Master Files (TMF/eTMF). Focus on managing TMF content, CTMS data entry, document tracking, and audit preparation, while coordinating study-specific training and supporting junior staff. **Expectations** - Perform all tasks on time while maintaining high quality and regulatory compliance. - Demonstrate strong communication skills to interact with Project Managers, Directors, and study sites. - Work collaboratively in a hybrid model (1–2 days in office, remainder remote). **Key Responsibilities** - Assist study teams during planning, initiation, execution, and close‑out phases in line with ICH‑GCP, internal SOPs, and regulatory requirements. - Maintain, update, and quality‑check TMF/eTMF to ensure continuous inspection readiness. - Enter and update data in the Clinical Trial Management System (CTMS) and generate reports. - Track study documents, correspondence, and contract records; manage document retrieval for audits. - Prepare and review site documentation, trackers, and meeting minutes. - Coordinate study‑specific training assignments through the Learning Management System. - Support audit/inspection activities: retrieve documents, perform QC checks, and assist with audit preparations. - Provide guidance and support to junior administrative staff or Clinical Trial Assistants. **Required Skills** - 2+ years of administrative experience or equivalent training. - 2+ years of experience in clinical research setting. - Strong knowledge of GCP (E6 R3) and clinical trial documentation standards. - Experience with CTMS and eTMF systems. - Basic understanding of the clinical trial lifecycle. - Proficiency in Microsoft Office (Word, Excel, PowerPoint, Outlook). - Excellent written and spoken English. **Required Education & Certifications** - Secondary‑level education (high school diploma) or equivalent professional experience. - Preferred: Degree in a life‑sciences field or related discipline. - Preferred: Clinical research qualification or certification.
Reading, United kingdom
Hybrid
Junior
26-11-2025
Company background Company brand
Company Name
BioTalent
Job Title
Machine Learning Researcher
Job Description
**Job Title** Machine Learning Researcher **Role Summary** Design, develop, and deploy machine learning models for complex scientific problems. Work closely with interdisciplinary scientists and engineers to translate research into actionable solutions, evaluating and optimizing models across diverse datasets. **Expactations** - Deliver high‑quality, production‑ready ML models that advance scientific investigations. - Communicate findings and model performance clearly to technical and non‑technical stakeholders. - Maintain rigorous documentation of model development, training pipelines, and experiments. **Key Responsibilities** - Architect and implement ML algorithms and pipelines tailored to scientific data. - Collaborate with researchers in biology, chemistry, or related fields to understand domain requirements. - Manage end‑to‑end model lifecycle: data preprocessing, feature engineering, training, cross‑validation, hyper‑parameter tuning, and deployment. - Design experiments to benchmark model improvements and document reproducibility. - Optimize models for scalability, efficiency, and integration into existing computational workflows. - Mentor junior team members and contribute to an intellectually rigorous team culture. **Required Skills** - Demonstrated research or engineering experience in machine learning. - Proficiency in Python, including libraries such as NumPy, pandas, scikit‑learn, PyTorch, or TensorFlow. - Strong analytical skills and ability to work with structured, unstructured, and multimodal data. - Experience with model training pipelines, evaluation metrics, and optimization techniques. - Excellent communication and teamwork skills, with a proactive, independent work style. **Required Education & Certifications** - Advanced degree (MS/PhD) in Computer Science, Data Science, Machine Learning, or a related field preferred; equivalent professional experience acceptable. - No specific certifications required, but knowledge of scientific domain methodologies is a plus.
New york, United states
Hybrid
15-12-2025
Company background Company brand
Company Name
BioTalent
Job Title
Chief Technology Officer
Job Description
Job Title: Chief Technology Officer Role Summary: Lead the design, execution, and scaling of an AI‑driven computational platform that powers advanced scientific programs in biology, chemistry, and data science. Collaborate with senior scientific and business leaders to align technical strategy with organizational goals. Expactations: Demonstrate senior leadership in life‑science technology environments, guide multidisciplinary teams, manage budgets and resources, and ensure compliant, high‑quality delivery of complex research projects. Key Responsibilities - Define and execute platform strategy across AI/ML, data engineering, computational biology, and structural biology. - Lead multidisciplinary scientific and technical teams; set objectives, monitor performance, and foster excellence. - Oversee platform and project budgets, resource allocation, and operational metrics. - Implement scalable, compliant processes for robust scientific delivery. - Partner with executive leadership to align technical initiatives with business goals. - Manage end‑to‑end delivery of complex scientific programmes, ensuring timelines and outcomes. Required Skills - Proven senior leadership in AI‑enabled life sciences, technology‑driven research, or data‑centric environments. - Deep expertise in computational biology, AI/ML, cheminformatics, structural biology, or related domains. - Strong strategic, operational, and people‑leadership capabilities. - Ability to translate complex technical concepts for technical and non‑technical audiences. - Collaborative, adaptable leadership style suited to fast‑moving, high‑performance settings. Required Education & Certifications - Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Computational Biology, or related field; PhD preferred. - Relevant certifications in AI/ML, data science, or project management are an advantage.
Paris, France
Hybrid
Senior
14-01-2026