Miloš Nikolić, Ph.D.

Scientist

About

Mathematician by training with over 15 years of experience applying computational and quantitative methods to molecular biology, cancer biology, and drug discovery across academia and biotech. I specialize in building and scaling internal data platforms and analytical systems that support translational research and decision-making. I have repeatedly initiated, designed, and led end-to-end computational products from conceptualization to adoption that became core infrastructure across teams. My work sits at the intersection of multi-omics analysis, statistical modeling and machine learning, and software engineering, with a strong emphasis on biological interpretability, rigor, reproducibility, and long-term maintainability. I enjoy roles that combine deep technical engagement with ownership of systems, mentoring, and cross-functional collaboration, particularly in environments where computational strategy directly informs scientific, clinical, and business decisions.

Country

City

Germany

Industry

Biotechnology

Skill

Python (Programming Language), Parallel Programming, Statistics, Mathematics, Computer Science, Python, Machine Learning, Programming, Databases, C++, Java, Algorithms, C, MySQL, Bash, Research, Linux, OOP, Perl, LaTeX

Experience

Scientist

DISCO Pharmaceuticals GmbH

2022-8 - Present · 4 yrs 2 mos

https://discopharma.de/

Research Scientist (Computational Cancer Genomics)

Centre for Molecular Medicine Cologne, Medical Faculty, University Clinic Cologne

2017-10 - 2022-8 · 4 yrs 11 mos

Cologne, North Rhine-Westphalia, Germany

Doctor of Philosophy (Ph.D.), International Program Health Sciences (IPHS)

Centre for Molecular Medicine Cologne, Medical Faculty, University Clinic Cologne

2013-11 - 2017-12 · 4 yrs 2 mos

Cologne, North Rhine-Westphalia, Germany

Thesis title: “Understanding the Basis of Gene Regulation of Common Complex Diseases by Computational Analysis of Next-Generation Sequencing Data” (Advisor: Prof. Argyris Papantonis). • Investigated common complex diseases from two aspects: (i) transcriptional gene expression and regulation in congenital disorder, orofacial clefts; (ii) how 3D chromatin structure affects gene regulation in senescence. Importantly, the approaches can be applied to other disease models. • Provided bioinformatics support to other group members (12 people), by performing data analyses from several experimental techniques (ChIP-seq, RNA-seq, Hi-C, Hi-ChIP) and custom program development in programming languages R and Python, resulting in additional 9 publications during my doctoral studies.

Software Engineer (EU-FP7 projects)

Scientific Computing Laboratory, Institute of Physics Belgrade

2011-11 - 2012-5 · 7 mos

Pregrevica 118, Beograd

Here, I gained expertise in parallel programming and learned about high performance computing. I benchmarked different implementations of Fast Fourier Transform using three European supercomputers (from Paris, Jülich and Belgrade)