Huidige banen gerelateerd aan Computational Toxicologist - Utrecht, Utrecht - TNO

The Research group RAPID at TNO specializes in multidisciplinary projects on the assessment of health risks due to potentially hazardous exposures in the general population or workers. Our team consists of around 50 members with various expertise related to risk analysis, including toxicology, epidemiology, exposome, chemistry, occupational hygiene, exposure assessment, modeling, and statistics. We develop innovative, science-based tools, models, and methods to estimate exposures, toxicity, and potential health-risks accurately and efficiently. Our research focuses on preventing exposure, reducing risks, and lowering the burden of disease, in collaboration with other TNO departments, universities, research institutes, government, and industry partners.

The prediction of human health risks is increasingly based on in vitro toxicology and computational modeling, so-called Next Generation Risk Assessment (NGRA) approaches, to reduce costs and speed up the safety assessment process. RAPID combines its risk analysis and modeling expertise with practical experience in innovative experimental research, including in vitro toxicology, chemical analysis, and human exposure. We develop integrated approaches to optimize the prediction of human health risks and reduce animal testing. These approaches also enable us to identify potential risks of products early in their development, according to Safe and Sustainable by Design (SSbD), compare scenarios, and gain insight into the effects of prevention measures.

• Develop and coordinate the research agenda on computational toxicology with TNO colleagues and experts from academia and industry;
• Implement existing and develop and apply computational tools for hazard prediction and risk assessment;
• Make scientific knowledge and computational tools applicable for industrial players;
• Initiate and participate in writing project proposals;
• Participate in multidisciplinary research projects;
• Participate in scientific discussions with international experts from various fields;
• Present and publish results in scientific media and fora, as well as within TNO.

We are looking for a candidate with the following qualifications:

• At least a Master's degree in (computational) toxicology, bio-informatics, data science, artificial intelligence, health sciences, medical biology, pharmacology, or biomedical sciences (PhD preferred);
• Experience in developing and applying computational tools for hazard prediction;
• At least 5 years of experience in the toxicology field;
• A team player with an analytical mindset, a pro-active, client-oriented attitude, used to working with strict budget and firm timelines;
• Strong scientific writing skills, the ability to interpret scientific data on safety into clear recommendations for our clients;
• Excellent communication skills, fluency in English;
• Eager to learn new science and expand current knowledge;
• Certification as a European Registered Toxicologist (ERT) is a plus, however candidates with expertise in data sciences who have proven affinity with application of these in toxicology or pharmacology are encouraged to apply;
• Working experience in the chemical, pharma, or food industry, or applied research institutes is a plus.

Challenging and varied work with a real impact. And plenty of opportunities as, at TNO, you are in charge of shaping your career. We offer a gross monthly salary between €3,000 and €6,000 (based on your knowledge and experience), 8% holiday pay, a 13th month bonus of 8.33%, and a flex budget (5.58% + €). In addition, you will be given every opportunity to develop yourself. TNO offers optional employee benefits, enabling you to tailor your benefits package to match your personal situation. You may also expect:

• An extremely professional, innovative working environment where colleagues are leading experts in their field;
• The opportunity to attend courses, workshops, and conferences, and to receive training and coaching based on your needs;
• 33 days annual leave on a full-time basis;
• An employer that values and encourages diverse talent, with initiatives like the Female Leadership Program, our Rainbow Community, and round tables on inclusion topics;
• We offer a comprehensive and flexible benefits package that also includes full compensation for public transportation for commuting and business travel;
• Great social events with your team and other colleagues. That's how you will get to know a lot of people really quickly;
• Flexible working hours, the possibility to work part-time (32 of 36 hours), and the possibility of working from home;
• A good pension scheme.