54 Biostatistics jobs in the United Arab Emirates

Biostatistics Assistant , Abu Dhabi: 1+ year experience, degree in Statistics or related. Skills in R, Python, data analysis, experimental design. Strong communication and problem-solving skills.

Description

Job Code: 4203

Experience: 1+ years

Client: Government Entity (Direct hire)

Academic Background:

A degree in Statistics, Data Science, Biostatistics, or a related field.

Experience:

1 year of experience in data analysis. Hands-on experience with analysing ecological or biological datasets is highly desirable.

Technical Skills:

1. Capable of handling, cleaning, and organizing large datasets for statistical analysis.
2. Knowledge of experimental design, hypothesis testing, and reporting results in a scientific context.
3. Strong expertise in R and Python for statistical modelling, machine and deep learning, and data visualization.

Soft Skills:

1. Excellent problem-solving skills with attention to details and accuracy.
2. Strong organizational and time management skills, with the ability to work both independently and collaboratively.
3. Strong communication skills, capable of explaining complex ideas clearly and effectively.
4. Collaborative team player with a positive attitude and commitment to creating a supportive work environment.
5. Quick learner, adaptable to emerging tools and methodologies in data science and conservation technology.

IT & Software Skills:

Programming Languages: Proficiency in R and Python. Familiarity with SQL and Power BI is an advantage.

Working Days and Timing: Monday to Friday. 9 hours per day (8 working hours, 1 hour lunch break).

Interested?

Contact: +971

Biostatistics Assistant in Abu Dhabi with 1+ year experience. Skills: data analysis, R, Python. Degree in Statistics or related. Monday-Friday, government client.

Job Code: 4203
Job Title: Biostatistics Assistant
Location: Abu Dhabi
Experience: 1+ years
Client: Government Entity (Direct hire)

Academic Background:
A degree in Statistics, Data Science, Biostatistics, or a related field.

Experience:
1 year of experience in data analysis. Hands-on experience with analysing ecological or biological datasets is highly desirable.

Technical Skills:
Capable of handling, cleaning, and organizing large datasets for statistical analysis.
Knowledge of experimental design, hypothesis testing, and reporting results in a scientific context.
Strong expertise in R and Python for statistical modelling, machine and deep learning, and data visualization.

Soft Skills:
Excellent problem-solving skills with attention to details and accuracy.
Strong organizational and time management skills, with the ability to work both independently and collaboratively.
Strong communication skills, capable of explaining complex ideas clearly and effectively.
Collaborative team player with a positive attitude and commitment to creating a supportive work environment.
Quick learner, adaptable to emerging tools and methodologies in data science and conservation technology.

IT & Software Skills:
Programming Languages: Proficiency in R and Python. Familiarity with SQL and Power BI is an advantage.

Working days and timing: Monday to Friday. 9 hours per day (8 working hours, 1 hour lunch break).

Biostatistics Assistant in Abu Dhabi. Requires 1+ years in data analysis, R/Python skills, and ecological dataset experience. Monday-Friday, 9 hours/day. Government entity direct hire.

Job Code: 4203

Experience: 1+ years

Client: Government Entity (Direct hire)

Academic Background:
A degree in Statistics, Data Science, Biostatistics, or a related field.

Experience:
1 year of experience in data analysis. Hands-on experience with analyzing ecological or biological datasets is highly desirable.

Technical Skills:
Capable of handling, cleaning, and organizing large datasets for statistical analysis.
Knowledge of experimental design, hypothesis testing, and reporting results in a scientific context.
Strong expertise in R and Python for statistical modelling, machine and deep learning, and data visualization.

Soft Skills:
Excellent problem-solving skills with attention to detail and accuracy.
Strong organizational and time management skills, with the ability to work both independently and collaboratively.
Strong communication skills, capable of explaining complex ideas clearly and effectively.
Collaborative team player with a positive attitude and commitment to creating a supportive work environment.
Quick learner, adaptable to emerging tools and methodologies in data science and conservation technology.

IT & Software Skills:
Programming Languages: Proficiency in R and Python.
Familiarity with SQL and Power BI is an advantage.

Working days and timing: Monday to Friday. 9 hours per day (8 working hours, 1 hour lunch break).

Biostatistics Assistant in Abu Dhabi with 1+ year experience. Skills: data analysis, R, Python. Degree in Statistics or related. Monday-Friday, government client.

Job Code: 4203
Job Title: Biostatistics Assistant
Location: Abu Dhabi
Experience: 1+ years
Client: Government Entity (Direct hire)

Academic Background:
A degree in Statistics, Data Science, Biostatistics, or a related field.

Experience:
1 year of experience in data analysis. Hands-on experience with analysing ecological or biological datasets is highly desirable.

Technical Skills:
Capable of handling, cleaning, and organizing large datasets for statistical analysis.
Knowledge of experimental design, hypothesis testing, and reporting results in a scientific context.
Strong expertise in R and Python for statistical modelling, machine and deep learning, and data visualization.

Soft Skills:
Excellent problem-solving skills with attention to details and accuracy.
Strong organizational and time management skills, with the ability to work both independently and collaboratively.
Strong communication skills, capable of explaining complex ideas clearly and effectively.
Collaborative team player with a positive attitude and commitment to creating a supportive work environment.
Quick learner, adaptable to emerging tools and methodologies in data science and conservation technology.

IT & Software Skills:
Programming Languages: Proficiency in R and Python. Familiarity with SQL and Power BI is an advantage.

Working days and timing: Monday to Friday. 9 hours per day (8 working hours, 1 hour lunch break).

United Arab Emirates University, Department of Family Medicine

Job Description

The Department of Internal Medicine at the College of Medicine and Health Sciences (CMHS), UAE University, is seeking to appoint a full-time faculty member to contribute to its teaching, research, and consultancy activities in Biostatistics. We are looking to appoint a suitable candidate with training, experience, and achievements in Biostatistics. The successful candidate will assist in teaching biostatistics to undergraduate medical students, and graduate students, including the inaugural MSc in Clinical Research. The candidate should be expected to conduct advanced statistical research, contribute to the supervision of PhD students, and participate in curriculum development and academic program enhancement. The appointee is anticipated to initiate and be the principal investigator for research projects relevant to the health of communities in the UAE. There are good opportunities for collaboration with colleagues in the CMHS and other UAEU colleges, in addition to local and regional institutions. Particular importance is attached to developing strong links with educational establishments, health authorities, government agencies, and other institutions in the UAE and the wider region. International collaboration is encouraged.

Job Description

The Department of Internal Medicine at the College of Medicine and Health Sciences (CMHS), UAE University, is seeking to appoint a full-time faculty member to contribute to its teaching, research, and consultancy activities in Biostatistics. We are looking to appoint a suitable candidate with training, experience, and achievements in Biostatistics. The successful candidate will assist in teaching biostatistics to undergraduate medical students, and graduate students, including the inaugural MSc in Clinical Research. The candidate should be expected to conduct advanced statistical research, contribute to the supervision of PhD students, and participate in curriculum development and academic program enhancement. The appointee is anticipated to initiate and be the principal investigator for research projects relevant to the health of communities in the UAE. There are good opportunities for collaboration with colleagues in the CMHS and other UAEU colleges, in addition to local and regional institutions. Particular importance is attached to developing strong links with educational establishments, health authorities, government agencies, and other institutions in the UAE and the wider region. International collaboration is encouraged.

Minimum Qualification

Applicants should possess a PhD degree in Biostatistics or equivalent. Demonstrated experience in teaching biostatistics or related courses at the university level.

Preferred Qualification

PhD degree in Biostatistics and relevant experience in advanced biostatistical methods, deep learning, machine learning, and longitudinal models. A strong record of research with publications in peer-reviewed journals.

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United Arab Emirates University, Department of Family Medicine

United Arab Emirates University, Department of Family Medicine

Job Description
The Department of Internal Medicine at the College of Medicine and Health Sciences (CMHS), UAE University, is seeking to appoint a full-time faculty member to contribute to its teaching, research, and consultancy activities in Biostatistics. We are looking to appoint a suitable candidate with training, experience, and achievements in Biostatistics. The successful candidate will assist in teaching biostatistics to undergraduate medical students, and graduate students, including the inaugural MSc in Clinical Research. The candidate should be expected to conduct advanced statistical research, contribute to the supervision of PhD students, and participate in curriculum development and academic program enhancement. The appointee is anticipated to initiate and be the principal investigator for research projects relevant to the health of communities in the UAE. There are good opportunities for collaboration with colleagues in the CMHS and other UAEU colleges, in addition to local and regional institutions. Particular importance is attached to developing strong links with educational establishments, health authorities, government agencies, and other institutions in the UAE and the wider region. International collaboration is encouraged.

Job Description
The Department of Internal Medicine at the College of Medicine and Health Sciences (CMHS), UAE University, is seeking to appoint a full-time faculty member to contribute to its teaching, research, and consultancy activities in Biostatistics. We are looking to appoint a suitable candidate with training, experience, and achievements in Biostatistics. The successful candidate will assist in teaching biostatistics to undergraduate medical students, and graduate students, including the inaugural MSc in Clinical Research. The candidate should be expected to conduct advanced statistical research, contribute to the supervision of PhD students, and participate in curriculum development and academic program enhancement. The appointee is anticipated to initiate and be the principal investigator for research projects relevant to the health of communities in the UAE. There are good opportunities for collaboration with colleagues in the CMHS and other UAEU colleges, in addition to local and regional institutions. Particular importance is attached to developing strong links with educational establishments, health authorities, government agencies, and other institutions in the UAE and the wider region. International collaboration is encouraged.
Minimum Qualification
Applicants should possess a PhD degree in Biostatistics or equivalent. Demonstrated experience in teaching biostatistics or related courses at the university level.
Preferred Qualification
PhD degree in Biostatistics and relevant experience in advanced biostatistical methods, deep learning, machine learning, and longitudinal models. A strong record of research with publications in peer-reviewed journals.

Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at

United Arab Emirates University, Department of Family Medicine

We are seeking a highly skilled professional to fill the role of Biostatistics Assistant.

About the Role:

• Assist in data analysis and statistical modeling using R and Python programming languages.
• Work with large datasets to clean, organize, and prepare for statistical analysis.
• Develop expertise in experimental design, hypothesis testing, and result reporting.

Key Qualifications:

• 1+ years of experience in data analysis and interpretation.
• Strong knowledge of R and Python programming languages.
• Hands-on experience with ecological or biological datasets.
• Excellent problem-solving skills with attention to detail and accuracy.

Technical Proficiency:

• Proficient in R and Python for statistical modeling, machine learning, and data visualization.
• Familiarity with SQL and Power BI is an advantage.

Soft Skills:

• Strong organizational and time management skills.
• Ability to work independently and collaboratively.
• Excellent communication skills.

Working Arrangements:

• Monday to Friday, 9 hours per day (8 working hours, 1 hour lunch break).

A degree in Statistics, Data Science, Biostatistics, or a related field is required.

Biostatistics Assistant, Abu Dhabi: we seek a candidate with 1+ year experience in statistics or related field. Required skills include data analysis, experimental design, R, and Python programming. The ideal candidate will have strong communication and problem-solving skills.

Key qualifications:

1. Bachelor's degree in Statistics, Data Science, Biostatistics, or related field
2. 1+ year of experience in data analysis, preferably with ecological or biological datasets
3. Strong expertise in R and Python for statistical modelling, machine learning, and data visualization

Benefits:

• Monday to Friday working hours
• 9-hour workday with 1-hour lunch break

Interested candidates should contact us directly.

Job Title: Biostatistics Faculty Member

We are seeking a biostatistics expert to join our faculty team. As a member of our department, you will contribute to teaching, research, and consultancy activities in biostatistics.

The successful candidate will assist in teaching biostatistics to undergraduate medical students and graduate students. You should be expected to conduct advanced statistical research, contribute to the supervision of PhD students, and participate in curriculum development and academic program enhancement.

You will have opportunities for collaboration with colleagues in various departments and institutions locally and regionally. We also encourage international collaboration.

Key Responsibilities:

• Teaching biostatistics courses to undergraduate and graduate students

• Conducting advanced statistical research

• Supervising PhD students

• Participating in curriculum development and academic program enhancement

Requirements:

• A PhD degree in Biostatistics or equivalent

• Demonstrated experience in teaching biostatistics or related courses at the university level

Preferred Qualifications:

• PhD degree in Biostatistics

• Relevant experience in advanced biostatistical methods, deep learning, machine learning, and longitudinal models

• A strong record of research with publications in peer-reviewed journals

Disclaimer:

This is only a platform to bring job seekers and employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do not endorse any requests for money payments and strictly advise against sharing personal or bank-related information.