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Hire Dr. Haiko S.

Sweden

USD 80 /hr

Experienced Data Scientist | Bioinformatics, AI Validation & Epidemiology | R, Python, SQL | Medical & Pharma Research

Profile Summary

I am an experienced data scientist with a strong background in bioinformatics, AI validation, epidemiology, and medical research. I hold a PhD in Genetic Epidemiology and have expertise in statistical modeling, machine learning, and data analysis using R, Python, and SQL. My work spans genetics, immunology, and clinical research, with a focus on developing analytical tools and methodologies for biomedical applications. I have led multiple research projects, supervised MSc and PhD students, and contributed to high-impact publications. Currently, I am seeking opportunities in pharma, biotech, and medical research.

Subject Matter Expertise

• ☆ Biostatistics
• ☆ Molecular Biology
• ☆ Genetics
• ☆ Data Analysis
• ☆ Big Data Analytics
• ☆ Artificial Intelligence
• ☆ Bioinformatics
• ☆ Python
• ☆ SQL
• ☆ R
• ☆ Public Health
• ☆ Epidemiology
• ☆ Technical & Scientific Writing
• ☆ Manuscript & Journal Article Writing

Services

• Writing
• Research
• Consulting
• Data & AI

Writing General Proofreading & Editing

Research Fact Checking, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Data Visualization, Big Data Analytics, Data Cleaning, Data Processing, Data Insights

Work Experience

PostdoctoralResearcher

Karolinska Institutet

April 2022 - Present

Postdoctoral Researcher

Stellenbosch University

January 2019 - Present

PostdoctoralResearcher

Stellenbosch University

January 2019 - March 2022

Education

PhD Human Genetics (Biomedical Sciences)

Stellenbosch University

January 2017 - December 2018

PhD

Stellenbosch Unviersity

January 2015 - December 2018

Masters in Human genetics (Human Genetics )

Stellenbosch University Faculty of Medicine and Health Sciences

January 2015 - December 2016

Honours degree in Human genetics (Human genetics)

Stellenbosch University Faculty of Medicine and Health Sciences

January 2014 - December 2014

BSc

Stellenbosch University

January 2011 - December 2014

Bachelors degree in Molecular biology (Biotechnology and Molecular biology )

University of Stellenbosch Faculty of Science

January 2011 - December 2013

Bachelors degree in Mechatronics (Mechanical and Mechatronic )

Stellenbosch University Faculty of Engineering

January 2007 - December 2010

BEng in Mechanical Engineering

Stellenbosch University

January 2007 - December 2010

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Stephanie J. Müller and Haiko Schurz and Gerard Tromp and Gian D. van der Spuy and Eileen G. Hoal and Paul D. van Helden and Ellis Owusu-Dabo and Christian G. Meyer and Birgit Muntau and Thorsten Thye and Stefan Niemann and Robin M. Warren and Elizabeth Streicher and Marlo Möller and Craig Kinnear(2021). A multi-phenotype genome-wide association study of clades causing tuberculosis in a Ghanaian- and South African cohort . Genomics. 113. (4). p. 1802--1815. Elsevier {BV}

et al., Müller, S.J., Schurz, H., Tromp, G., van der Spuy, G.D., Hoal, E.G., van Helden, P.D., Owusu-Dabo, E., Meyer, C.G., Muntau, B., Thye, T.(2021). A multi-phenotype genome-wide association study of clades causing tuberculosis in a Ghanaian- and South African cohort . Genomics. 113. (4). p. 1802-1815.

(2020). A regulatory variant in the C1Q gene cluster is associated with tuberculosis susceptibility and C1qA plasma levels in a South African population . Immunogenetics.

Bruiners, N., Schurz, H., Daya, M., Salie, M., van Helden, P.D., Kinnear, C.J., Hoal, E.G., Möller, M., Gey van Pittius, N.C.(2020). A regulatory variant in the C1Q gene cluster is associated with tuberculosis susceptibility and C1qA plasma levels in a South African population . Immunogenetics. 72. (5). p. 305-314.

(2019). Evaluating the Accuracy of Imputation Methods in a Five-Way Admixed Population . Frontiers in Genetics.

(2019). A Sex-Stratified Genome-Wide Association Study of Tuberculosis Using a Multi-Ethnic Genotyping Array . Frontiers in Genetics.

Schurz, Haiko and Salie, Muneeb and Tromp, Gerard and Hoal, Eileen G. and Kinnear, Craig J. and M{\"o}ller, Marlo(2019). The X chromosome and sex-specific effects in infectious disease susceptibility . Human Genomics. 13. (1). p. 2.

Schurz, H., Salie, M., Tromp, G., Hoal, E.G., Kinnear, C.J., Möller, M.(2019). The X chromosome and sex-specific effects in infectious disease susceptibility . Human genomics. 13. (1). p. 2.

Schurz, H., Müller, S.J., Van Helden, P.D., Tromp, G., Hoal, E.G., Kinnear, C.J., Möller, M.(2019). Evaluating the accuracy of imputation methods in a five-way admixed population . Frontiers in Genetics. 10. (feburay).

Schurz, H., Kinnear, C.J., Gignoux, C., Wojcik, G., van Helden, P.D., Tromp, G., Henn, B., Hoal, E.G., Möller, M.(2019). A sex-stratified genome-wide association study of tuberculosis using a multi-ethnic genotyping array . Frontiers in Genetics. 10. (JAN).

IMPUTOR: Phylogenetically Aware Software for Imputation of Errors in Next-Generation Sequencing @article{10.1093/gbe/evy088, author= {Jobin, Matthew and Schurz, Haiko and Henn, Brenna M}, title= {{IMPUTOR: Phylogenetically Aware Software for Imputation of Errors in Next-Generation Sequencing}}, journal= {Genome Biology and Evolution}, volume= {10}, number= {5}, pages= {1248-1254}, year= {2018}, month= {05}, abstract= {{We introduce IMPUTOR, software for phylogenetically aware imputation of missing haploid nonrecombining genomic data. Targeted for next-generation sequencing data, IMPUTOR uses the principle of parsimony to impute data marked as missing due to low coverage. Along with efficiently imputing missing variant genotypes, IMPUTOR is capable of reliably and accurately correcting many nonmissing sites that represent spurious sequencing errors. Tests on simulated data show that IMPUTOR is capable of detecting many induced mutations without making erroneous imputations/corrections, with as many as 95\\% of missing sites imputed and 81\\% of errors corrected under optimal conditions. We tested IMPUTOR with human Y-chromosomes from pairs of close relatives and demonstrate IMPUTOR’s efficacy in imputing missing and correcting erroneous calls.}}, issn= {1759-6653}, doi= {10.1093/gbe/evy088}, url= {https://dx.doi.org/10.1093/gbe/evy088}, eprint= {http://oup.prod.sis.lan/gbe/article-pdf/10/5/1248/26645222/evy088.pdf}} . Genome Biology and Evolution.

Jobin, M., Schurz, H., Henn, B.M.(2018). Corrigendum: IMPUTOR: Phylogenetically aware software for imputation of errors in next-generation sequencing (Genome Biology and Evolution (2018) 10:5 (1248-1254) DOI: 10.1093/gbe/evy088) . Genome Biology and Evolution. 10. (11). p. 2931.

Jobin, M., Schurz, H., Henn, B.M.(2018). IMPUTOR: Phylogenetically aware software for imputation of errors in next-generation sequencing . Genome Biology and Evolution. 10. (5). p. 1248-1254.

Craig Kinnear and Eileen G. Hoal and Haiko Schurz and Paul D. van Helden and Marlo Möller(2017). The role of human host genetics in tuberculosis resistance . Expert Review of Respiratory Medicine. 11. (9). p. 721-737. Taylor & Francis

Kinnear, C., Hoal, E.G., Schurz, H., van Helden, P.D., Möller, M.(2017). The role of human host genetics in tuberculosis resistance . Expert Review of Respiratory Medicine. 11. (9). p. 721-737.

Bowker N, Salie M, Schurz H, van Helden PD, Kinnear CJ, Hoal EG, Möller M, Lung, 2016, 2016 .

Bowker, N., Salie, M., Schurz, H., van Helden, P.D., Kinnear, C.J., Hoal, E.G., Möller, M.(2016). Polymorphisms in the Pattern Recognition Receptor Mincle Gene (CLEC4E) and Association with Tuberculosis . Lung. 194. (5). p. 763-767.

Schurz H, Daya M, Möller M, Hoal EG, Salie M, PloS one, 2015, vol. 10, no. 10, pp. e0139711 .

Schurz, H., Daya, M., Möller, M., Hoal, E.G., Salie, M.(2015). TLR1, 2, 4, 6 and 9 variants associated with tuberculosis susceptibility: A systematic review and meta-analysis . PLoS ONE. 10. (10).

OTHER

Müller, S.J., Schurz, H., Tromp, G., van der Spuy, G.D., Hoal, E.G., van Helden, P.D., Owusu-Dabo, E., Meyer, C.G., Thye, T., Niemann, S., et al.(2020). A multi-phenotype genome-wide association study of clades causing tuberculosis in a Ghanaian- And South African cohort . medRxiv.

Schurz, H., Kinnear, C.J., Gignoux, C., Wojcik, G., van Helden, P.D., Tromp, G., Henn, B., Hoal, E.G., Möller, M.(2018). A sex-stratified genome-wide association study of tuberculosis using a multi-ethnic genotyping array . bioRxiv.