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Senior Lecturer: Biomedical Sciences and Data Science

Employer
Stellenbosch University
Location
South Africa
Closing date
Nov 1, 2021
Division of Molecular Biology and Human Genetics

and

School for Data Science and Computational Thinking

Senior Lecturer

(Ref. TGB02/286/1021)

The Division of Molecular Biology and Human Genetics situated in the Department of Biomedical Sciences, Faculty of Medicine and Health Sciences at Stellenbosch

University, seeks to hire, jointly with the School for Data Science and Computational Thinking, a Senior Lecturer with a focus on tuberculosis biomarker discovery and

generation of biological insights from high-throughput patient cohort and animal model datasets to contribute to improved diagnosis, treatment monitoring, host directed

therapy, vaccine development and disease prevention. The position will be a joint appointment without end date and subject to future funding between the School of Data

Science and Computational Thinking and the Faculty of Medicine and Health Sciences, where the majority of the duties will lie with the Division of Molecular Biology and

Human Genetics.

The Division of Molecular Biology and Human Genetics, with more than 20 senior scientists, has a world-class research programme in tuberculosis, is funded by numerous

grants from international granting agencies and is home to the South African Tuberculosis Bioinformatics Initiative (SATBBI). The incumbent will work with the members of,

and take a leadership position in, SATBBI. The incumbent will report to the head of SATBBI.

The School for Data Science and Computational Thinking was launched in July 2019 with a vision to be a world-class institution for data science and computational thinking

in and for Africa. Its mission includes facilitating collaborative research, offering modules at both undergraduate and postgraduate levels, and to attract both private and

public funds to stimulate data science and computational thinking-related research at the University. More information about the School is available on our webpage, at

http://www.sun.ac.za/english/data-science-and-computational-thinking ).

  • Researching and publishing in tuberculosis biomarker discovery and generation of biological insights from high-throughput patient cohort and animal model datasets

Researching and publishing in tuberculosis biomarker discovery and generation of biological insights from high-throughput patient cohort and animal model datasets
  • Supervising postgraduate students;
  • Analysing a variety of high-throughput data sets, taking responsibility for data preparation and the reports;
  • Teaching short courses;
  • Creating opportunities for the staff and students of the School for Data Science and Computational Thinking from mathematical and computer sciences to

Supervising postgraduate students;

Analysing a variety of high-throughput data sets, taking responsibility for data preparation and the reports;

Teaching short courses;

Creating opportunities for the staff and students of the School for Data Science and Computational Thinking from mathematical and computer sciences to
  • Writing grant applications to national and international agencies promoting local expertise in Data Science;
  • Facilitating obtaining institutional training grants for postgraduate students;
  • Participating in the School's and Department's consulting activities;
  • Fulfilling administrative roles as required by the Department and the School, including being the point person representing the School in Departmental activities and

Writing grant applications to national and international agencies promoting local expertise in Data Science;

Facilitating obtaining institutional training grants for postgraduate students;

Participating in the School's and Department's consulting activities;

Fulfilling administrative roles as required by the Department and the School, including being the point person representing the School in Departmental activities and
  • An MBChB and a PhD in a data science field;
  • Experience in applying Data Science in the context of molecular biology and human genetics;
  • Experience in using at least one of the statistical programming languages;
  • Demonstrated leadership of a research or technical team;
  • Demonstrable excellent verbal and written communication skills.

An MBChB and a PhD in a data science field;

Experience in applying Data Science in the context of molecular biology and human genetics;

Experience in using at least one of the statistical programming languages;

Demonstrated leadership of a research or technical team;

Demonstrable excellent verbal and written communication skills.
  • Proven ability to foster cross-disciplinary relationships;
  • Track record of successful postgraduate supervision;
  • A rating by the National Research Foundation (NRF);
  • Evidence of ongoing national and international collaboration;
  • Fluency in R using the tidy verse paradigm;
  • Experience of working in a multidisciplinary research environment.


Proven ability to foster cross-disciplinary relationships;

Track record of successful postgraduate supervision;

A rating by the National Research Foundation (NRF);

Evidence of ongoing national and international collaboration;

Fluency in R using the tidy verse paradigm;

Experience of working in a multidisciplinary research environment.

#LI-POST

The University is committed to employment equity (EE), and appointments will be made in line with the EE plan for the specific environment as well as Stellenbosch

University's institutional EE Plan.

The University reserves the right not to make an appointment.

To apply please click on the Apply Online button below.

Your application, comprising a comprehensive curriculum vitae (including the names and e-mail addresses of at least three referees), must reach the University

before or on the closing date of the advertised post.

The University reserves the right to investigate qualifications and conduct background checks on all candidates.

Should no feedback be received from the University within six weeks of the closing date, kindly accept that your application did not succeed.

Enquiries regarding job content: Prof. Gerard Tromp on 021 938 9947, or at gctromp@sun.ac.za

Enquiries regarding remuneration/benefits as well as technical assistance with the electronic application process: Human Resources Client Service Centre on 021 808 2753, or at sun-e-hr@sun.ac.za

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