Senior Research Scientist

The Tecnimede Group has more than 800 employees spread across the world looking to the future, united and focused on improving and preserving the health of all of us. Because we own the entire life cycle of medicines for human use, with our own factories located in Portugal and Morocco, and with a Research and Development center in Torres Vedras (Portugal). We are 100% Portuguese, but also international, with a direct presence in more than 100 countries. We look for people with strength, determination and vision.

We are looking for a highly skilled and motivated Senior Research Scientist to join our innovative AI & Therapeutics team.

In this pivotal role, you will lead the design, development, and implementation of advanced machine learning models to accelerate and enhance various stages of the drug discovery pipeline, from target identification and lead optimization to clinical trial design. This is an exceptional opportunity to shape the future of medicine by bridging the gap between computational science and biological innovation.

Key Responsibilities

• Develop and Deploy AI Models: Design, train, and validate novel machine learning and deep learning algorithms to solve critical problems in drug discovery, including predicting molecular properties, ADMET, and efficacy.
• Identify novel drug targets and therapeutic candidates.
• Generate and optimize de novo molecules.
• Analyze complex biological and omics data (genomics, proteomics, transcriptomics).
• Pipeline Integration: Collaborate with medical, medicinal chemistry, and biology teams to integrate AI models into throughput screening and drug design workflows.
• Data Strategy: Curate, manage, and preprocess large, diverse datasets (structural, phenotypic, clinical) to ensure model robustness and predictive power.
• Research Leadership: Stay abreast of the latest advancements in AI, ML, and computational biology, and champion best practices.
• Mentorship & Collaboration: Provide technical guidance to junior team members and communicate complex AI concepts to technical stakeholders.

Required Qualifications

• Education: Ph. D. in Computer Science, Bioinformatics, Computational Chemistry, or a related quantitative field, or a Master's degree with equivalent work experience.
• Experience: Proven track record (3+ years) applying machine learning or deep learning to problems in drug discovery or life sciences.
• Expertise in common AI/ML frameworks such as Py
  Torch, Tensor
  Flow, and Keras, with proficiency in Python and relevant libraries such as RDKit and Pandas.
• Deep understanding of molecular representations (SMILES, graphs, descriptors) and chemical/biological data analysis.
• Skills: Strong analytical,
  - solving, and communication skills. Ability to work effectively independently and as part of a multidisciplinary team.

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