Number of Positions: 1

Job type: Monday – Friday Full-Time(37.5 hours per week)

Job posted date: 10^th Mar 2022

Closing date: 8^th Apr 2022

Job Reference: MK/0001

Salary: 34,000 to 38,000

Job Type: Full-time

Job Location: London

About our company:

MK IT provides Business and IT consulting services to small and medium enterprises globally from our London office, depending on client requirement our consultants deliver solutions across various different areas like market research, IT development strategy, IT security, business analytics, competitor intelligence, market sizing etc…Over The past years, we have successfully partnered with many companies to develop, implement and support their Business and Technology needs. We constantly challenge ourselves to continue delivering high quality best-in class solutions to our customers and we are looking for dynamic, flexible, like-minded people to join our team.

Job Responsibilities:

• Specify and/or extract data from databases using SQL/SAS
• Prepare analysis datasets and analyse data according to the study protocol
• Depending on your experience, you will further have the opportunity to contribute to various stages of retrospective database studies
• Contribute to writing up and presenting results of statistical analysis appropriate for the intended audience
• Assist in the dissemination of any clinically relevant findings through articles, posters and presentations Study design:
• Contribute to the writing of study proposals, including statistical analysis sections

Qualifications & Skills required :

• Strong Programming skills, with experience of SQL, R and/or SAS
• Ability to quickly learn SAS and R
• Must have some experience of working with real-world patient data
• Ability to effectively manage multiple tasks under tight timelines with high-quality deliverables
• Fluency in English (spoken and written)
• A commitment to work collaboratively & effectively with others in and across the team to accomplish goals
• Essential Requirements:
• Strong Programming skills, with experience of SQL, R and/or SAS
• Ability to quickly learn SAS
• Degree in Medical Sciences or in Medical Statistics, Bio-informatics or a related field Experience