An effective strategy for managing and analyzing your data will help you save time and resources over the course of your projects. Having a clear line of inquiry and a solid understanding of the tools available will benefit your work, allowing you to focus the information contained in your data and produce meaningful, reproducible, and publishable findings. A variety of tools exist to help life science professionals meet their needs for data analysis, including spreadsheets, relational databases, statistical techniques, machine learning methods, and business intelligence software. Each of these tools has its own complement of advantages, disadvantages, and particular use cases where it shines, though with so many options identifying the best tools for the job can seem overwhelming.
Bio Lab Analytics, LLC, provides quality data analysis and management services for professionals working in the life sciences.
We focus on statistical analysis in R, SAS, Python, and SPSS software packages, collaborating with clinicians, researchers, and other decision-makers to analyze their data. Examples of common requests include study design for research & quality improvement projects, statistics/biostatistics, descriptive analysis, and predictive modeling. We also work with our clients to develop effective strategies for collecting, storing, and managing their data.
"Paul Sochacki takes the mystery out of statistics.
He is not only able to use the most appropriate statistical test
but is able to make the results understandable to us mere mortals
who were not blessed with his degree of understanding and facility with statistics.
He is accessible and his work is of the highest quality. I highly recommend him."
David Oleson, PT, CPS
Physical Therapy and Hemophilia
Oregon Regional Hemophilia Center (OHSU)
"I have worked with Paul on several small studies. He has been very
responsive to our needs and time requirements. One study involved non-continuous data,
making analysis tricky. Paul was able to to perform the appropriate analysis demonstrating
statistical differences and the paper was accepted without comment."
Jason Taylor, MD, PhD
Clinical Research & Diagnostics Development
Portland VA Research Foundation
"“I have worked with Paul on a clinical research project for over 2 years now and he has been exceptional.
His guidance in the beginning assured an effective clinical design which resulted in a very informative study.
As questions and challenges came up in the study, he was readily available and very responsive, and was able to explain
his methods in a way that I could easily understand. After data collection, Paul worked diligently on the data analysis
and explained all of the results simply. As we are working on the manuscript, he helped me write the statistics portion is a timely and concise manner.
Because of his diligence, talent, and hard work, I was able to complete the project on time with clinically relevant results.” "
Katrina Winsnes, MD, MCR
Doernbecher Children's Hospital
"I was sort of lost in the world of statistics when I first attempted to analyze
my cell culture data. Then I sought out the help of Paul and after our first consult
he was able to piece it all together for me. Thank you so much for your help on my project."
Chris Lukaszewski, MS Biology
University of Texas Rio Grande Valley
"I had a clinically significant outcome in my hand. Paul helped me
turn the data into a study and was immensely helpful with manuscript editing,
as well as the IRB submission, for a peer-reviewed journal. In addition to
his help with data analysis and writing, Paul also provided encouragement
and relevant feedback for our work."
Jan Radzik, MD
Integrative Medicine, Nutrition
Lake Oswego, OR
Oregon Whole Health
"We've worked with Paul on a variety of clinical research projects.
He goes above and beyond when performing statistical and data analysis
because he understands the bigger picture of research and how to extract
clinical implications from the data. He contributes to writing and
reviewing research protocols, making detailed and visually stimulating graphics, and is always willing to
meet in person or via phone to discuss results or clarify questions.
He is a wonderful collaborator, and always responds very quickly and thoroughly.
Will continue to utilize his services again and again!"
Bethany Sloane, PT, DPT, PCS
Child Development & Rehabilitation Center (OHSU)
Britta Gurgel, PT, DPT, PCS
Randall Children's Hospital (Legacy Health)
The base rate for our services is $90/hr. All new clients receive a free 30 minute consultation to discuss the scope of their project and identify the analysis required to meet their needs.
Sample Size & Power Analysis - 1 to 3 hr
Experimental Design - 2 to 3 hr
Graphs/Figures - 1 to 3 hr
Manuscript or IRB Review - 1 to 2 hr
Grant Writing Review - 1 to 2 hr
Projects involving public health or regulatory agencies may be billed at a higher rate, due to the specialized knowledge and additional documentation often required when collaborating with these organizations.
Owner (Principal Consultant)
Software Expertise: R, SAS, Python, SQL, Tableau, VBA, Access, Excel, Google Analytics
Subject Matter Expert: Clinical Biology, EMR/LIS, Ecology
Paul is a programmer and biologist that has provided statistical analysis and data management services for a variety of clinical research and quality improvement projects over the past 8 years. He has over 12 years experience analyzing data using SAS, R, and SQL, and has been published in several peer-reviewed journals.
Software Expertise: R, SPSS, Arlequin, PAUP, Structure, Genepop, MrBayes
Subject Matter Expert: Population Genetics, Plant Ecology
Alisa is a population genetics scientist with a background in invasive plant species research. She has worked on projects ranging from plant breeding to medical device development, and has published peer-reviewed articles in a variety of scientific journals.