Data Scientist

Are you a passionate Data Scientist eager to apply your skills to real-world challenges in genomics and healthcare? Join MNM Diagnostics and help us extract meaningful insights from vast datasets!

MNM Diagnostics is a pioneering company in genetic diagnostics, leveraging cutting-edge genomic technologies to provide personalized healthcare solutions. We are expanding our data science team and are looking for a talented and enthusiastic Data Scientist to contribute to our mission of transforming patient lives through data-driven discoveries.

If you have a strong analytical mind, a solid background in machine learning and statistics, and a desire to work with complex biological data, we encourage you to apply!

Your Responsibilities Will Include:

• Developing, implementing, and optimizing machine learning models for analyzing genomic, clinical, and other biological data.
• Designing and performing statistical analyses to identify patterns, correlations, and predictive insights.
• Working with large, complex datasets, ensuring data quality, and performing necessary data cleaning and pre-processing.
• Collaborating with bioinformatics, R&D, and clinical teams to define problems, develop solutions, and translate findings into actionable insights.
• Creating compelling data visualizations and dashboards to communicate complex results clearly to both technical and non-technical stakeholders.
• Staying abreast of the latest advancements in data science, machine learning, and their applications in genomics and healthcare.
• Contributing to the scientific literature and presentations where appropriate.
• Participating in the entire data science lifecycle, from data acquisition and exploration to model deployment and monitoring.

We Are Looking For Someone Who Has:

• Master's or PhD in Data Science, Computer Science, Statistics, Bioinformatics, or a related quantitative field.
• Proven experience (3+ years for Master's, 1+ year for PhD) as a Data Scientist, preferably in a healthcare, biotech, or genomics setting.
• Strong proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and R.
• Solid understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
• Experience with SQL and working with large relational and non-relational databases.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark) is a plus.
• Experience with genomic data (NGS, variant calling, annotation) is highly desirable but not strictly required.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and presentation skills, with the ability to explain complex analytical concepts to diverse audiences.
• Ability to work independently and as part of a collaborative, multidisciplinary team.
• Fluency in English (both written and spoken).

What We Offer:

• A dynamic and intellectually stimulating environment at the cutting edge of genetic diagnostics.
• Opportunity to work with unique and impactful datasets that drive real-world change.
• Competitive salary, comprehensive benefits package (private medical care, sports card, life insurance), and opportunities for professional growth.
• Access to advanced computational resources and tools.
• A collaborative, supportive team culture that values innovation and continuous learning.
• Flexible working arrangements for qualified candidates.

If you are ready to leverage your data science expertise to make a significant impact in healthcare, please send your CV and a cover letter detailing your relevant experience to: aplikuj@mnm.bio

Please include "Data Scientist" in the subject line. We appreciate all applications, but only shortlisted candidates will be contacted.