Data Manager

at  Stellenbosch University

Duties/Pligte

• Managing the collection, maintenance and delivery of high quality data throughout the duration of all research projects;
• Contributing to the design and maintenance of databases and data collection tools, to ensure that they meet the requirements for entering and reporting clinical data of varying complexity;
• Testing prototype databases and data entry systems to ensure compliance with the study protocol and institutional processes and procedures;
• Testing new processes and systems for the optimal management of data in clinical research;
• Processing, tracking and validating data accurately and in a timely manner, in accordance with the instructions for data processing and entry;
• Managing the patient information and review protocol and incorporating protocol-specific guidelines into the data review process;
• Taking primary responsibility for data quality;
• Performing project-specific quality control and quality assurance tasks for each project independently;
• Ensuring adherence to Good Clinical Practice, good clinical data management practices, and adherence to standard procedures and work instructions;
• Developing and extracting accurate data reports as needed for ongoing project implementation and for data dissemination;
• Attending regular sponsor-related meetings and feedback sessions;
• Providing data required for invoicing;
• Training and managing data staff as required (team leader);
• Developing visiting calendars;
• Attending all start of study training sessions;
• Available to resolve queries as they are loaded;
• Performing basic data analysis.
• Bestuur die insameling, instandhouding en lewering van hoë gehalte data tydens die duur van alle navorsingsprojekte;

• Dra by tot die ontwerp en instandhouding van databasisse en data-insamelingsinstrumente om te verseker dat hulle voldoen aan die vereistes vir die invoer en rapportering

  van kliniese data van wisselende kompleksiteit;

• Toets prototipe databasisse en data-invoerstelsels om voldoening aan die studieprotokol en institusionele prosesse en prosedures te verseker;

• Toets nuwe prosesse en stelsels vir die optimale bestuur van data in kliniese navorsing;
• Verwerk, volg en valideer data akkuraat en betyds, in ooreenstemming met die instruksies vir dataverwerking en -invoer;
• Bestuur die pasiëntinligting en hersieningsprotokol en inkorporering van protokol-spesifieke riglyne in die datahersieningsproses;
• Neem die primêre verantwoordelikheid vir data-gehalte;
• Voer projekspesifieke gehaltebeheer- en kwaliteitversekeringstake vir elke projek onafhanklik uit;
• Verseker nakoming van Goeie Kliniese Praktyk, goeie kliniese databestuurspraktyke, en nakoming aan standaardprosedures en werksinstruksies;
• Ontwikkel en onttrek akkurate dataverslae soos nodig vir deurlopende projek implementering en vir dataverspreiding;
• Woon gereelde borgverwante vergaderings en terugvoersessies by;
• Verskaf data wat benodig word vir fakturering;
• Lei datapersoneel op en bestuur soos vereis (spanleier);
• Ontwikkel besoekkalenders;
• Woon alle studiebegin opleidingsessies by;
• Beskikbaarheid om navrae op te los soos dit gelaai word;
• Voer basiese data-analise uit.

Job Requirements/Pos Vereistes

• Five years’ experience of data management in a research environment;
• Experience with clinical data management systems (e.g., REDCap);
• An excellent working knowledge of various database management software packages (e.g., SQL Server and MS Access);
• Excellent query writing skills: T-SQL, ETL (extract, transform, load);
• The ability to deal with large volumes of data accurately and efficiently;
• The willingness to work flexitime;
• The ability to work collaboratively in a team and to actively engage in skills transfer;
• The ability to document data-related activities well and consistently;
• The ability to work systematically and to integrate various sources of information and systems;
• The ability to handle confidential information in a professional manner;
• Good verbal and written communication skills.
• Minstens vyf jaar se ervaring met databestuur, verkieslik in ’n navorsingsomgewing;
• Ervaring met kliniese databestuurstelsels (bv. REDCap);
• ’n Uitstekende werkskennis van verskillende databasisbestuur sagtewarepakkette (bv. SQL Server en MS Access);
• Uitstekende skryfvaardighede vir navrae: T-SQL, ETL (uittreksel, transformasie, laai);
• Die vermoë om groot hoeveelhede data akkuraat en doeltreffend te hanteer;
• Die bereidwilligheid om flexi-tyd te werk;
• Die vermoë om in ’n span te saam te werk en om aktief deel te neem aan vaardigheidsoordrag;
• Die vermoë om dataverwante aktiwiteite goed en konsekwent te dokumenteer;
• Die vermoë om stelselmatig te werk en verskillende bronne van inligting en stelsels te integreer;
• Die vermoë om vertroulike inligting op ’n professionele wyse te hanteer;
• Goeie mondelinge en skriftelike kommunikasievaardighede.

Recommendation/Aanbeveling

• REDCap knowledge will be advantageous;
• Planning and organisational skills;
• Communication skills;
• Data analysis skills;
• The ability to read, write and communicate in Afrikaans.
• REDCap-kennis sal voordelig wees;
• Beplannings- en organisasievaardighede;
• Kommunikasievaardighede;
• Vaardigheid in data-analise;
• Die vermoë om in Afrikaans te lees, skryf en kommunikeer.

• Managing the collection, maintenance and delivery of high quality data throughout the duration of all research projects;
• Contributing to the design and maintenance of databases and data collection tools, to ensure that they meet the requirements for entering and reporting clinical data of varying complexity;
• Testing prototype databases and data entry systems to ensure compliance with the study protocol and institutional processes and procedures;
• Testing new processes and systems for the optimal management of data in clinical research;
• Processing, tracking and validating data accurately and in a timely manner, in accordance with the instructions for data processing and entry;
• Managing the patient information and review protocol and incorporating protocol-specific guidelines into the data review process;
• Taking primary responsibility for data quality;
• Performing project-specific quality control and quality assurance tasks for each project independently;
• Ensuring adherence to Good Clinical Practice, good clinical data management practices, and adherence to standard procedures and work instructions;
• Developing and extracting accurate data reports as needed for ongoing project implementation and for data dissemination;
• Attending regular sponsor-related meetings and feedback sessions;
• Providing data required for invoicing;
• Training and managing data staff as required (team leader);
• Developing visiting calendars;
• Attending all start of study training sessions;
• Available to resolve queries as they are loaded;
• Performing basic data analysis.
• Bestuur die insameling, instandhouding en lewering van hoë gehalte data tydens die duur van alle navorsingsprojekte;
• Dra by tot die ontwerp en instandhouding van databasisse en data-insamelingsinstrumente om te verseker dat hulle voldoen aan die vereistes vir die invoer en rapporterin