by the numbers

Here's how Houston ranks when it comes to tech salaries and job growth

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Houston's tech workforce makes double the average salary — but when it comes to job growth, the city needs improvement, according to a new report.

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It truly pays to work in the tech sector in the Houston metro area.

A report published January 11 by Austin-based tech company Spanning Cloud Apps LLC shows workers in the Houston area can more than double their pay when they hold down a tech job. In fact, Houston ranks fifth among the country's largest metro areas for the pay advantage in tech occupations versus all occupations.

According to the report, the median annual pay for a Houston-area tech job stood at $91,190 in 2019. By comparison, the median annual pay for all occupations sat at $40,570. That puts the area's median tech pay 124.8 percent higher than the median pay for all occupations, giving Houston a fifth-place ranking in that category.

At 124.8 percent, Houston is sandwiched between fourth-place Dallas-Fort Worth (127 percent) and sixth-place San Antonio (124.7 percent) in terms of the pay premium offered by tech jobs. At No. 27 is Austin, with a 106.1 percent pay premium for tech jobs.

As for median tech pay, DFW ($91,760) claims the No. 12 spot among large metro areas. Meanwhile, Houston is in 15th place ($91,190), Austin is in 24th place ($85,640), and San Antonio is in 30th place ($81,870).

The report identifies 84,040 tech workers in the Houston area. In that regard, Houston ranks 13th among large metro areas, with DFW at No. 5 (158,490), Austin at No. 18 (66,800), and San Antonio at No. 35 (28,200).

While Houston earns a high ranking in the Spanning report for the pay gap between tech jobs and all jobs, it's toward the bottom of the pile when it comes to the share of tech jobs, the report indicates. Among large metro areas, Houston ranks 41st for the share of computer and math occupations in the workforce, 2.8 percent.

San Jose, California, takes the No. 1 spot in that category, with 12.7 percent of employees working in computer and math occupations. Austin ranks sixth (6.2 percent), DFW holds down the No. 13 spot (4.3 percent), and San Antonio comes in at No. 42 (2.7 percent).

Spanning based its report on data collected by the U.S. Bureau of Labor Statistics.

In February 2020, the Greater Houston Partnership indicated the region was home to about 150,000 tech workers, far above the number tallied in the Spanning report. The partnership says the region boasts the 12th largest tech sector in the U.S., generating an annual economic impact of $28.1 billion. Among the country's 20 largest metro areas, Houston ranks first for the share of tech workers at non-tech employers.

From August to September, Houston saw an 11 percent rise in postings for tech jobs, according to a third-quarter report from tech career hub Dice. That was one of the highest growth rates among the country's largest metro areas.

"As the home of NASA's human space program and headquarters to the global energy industry, Houston has long been known for its engineering prowess," the Greater Houston Partnership says. "Although most of Houston's technology talent is embedded in some of the area's largest industries such as energy and health care, subsectors such as software development, programming, and database management are also growing."

In the tech sector, Houston is bound to benefit from Hewlett Packard Enterprise Co. (HPE) shifting its headquarters from Silicon Valley to its campus under construction in Spring. The company praises Houston as "an attractive market for us to recruit and retain talent, and a great place to do business."

HPE already employs about 2,600 people in the Houston area. The move of its headquarters to Spring could mean the addition of hundreds of local jobs in the coming years.

"HPE's headquarters relocation is a signature moment for Houston, accelerating the momentum that has been building for the last few years as we position Houston as a leading digital tech hub," Bob Harvey, president and CEO of the Greater Houston Partnership, said in December.

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This story originally appeared on our sister site, InnovationMap.

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brain scientists at work

Rice University scientists invent new algorithm to fight Alzheimer's

Vicky Yao and Qiliang Lai of Rice University work on a laptop.

Photo courtesy of Rice University

Vicky Yao, an assistant professor of computer science and member of the Ken Kennedy Institute at Rice University, and Qiliang Lai, a Rice postdoctoral researcher

A new breakthrough from researchers at Rice University could unlock the genetic components that determine several human diseases such as Parkinson's and Alzheimer's.

Alzheimer's disease affected 57 million people worldwide in 2021, and cases in the United States are expected to double in the next couple of decades. Despite its prevalence and widespread attention of the condition, the full mechanisms are still poorly understood. One hurdle has been identifying which brain cells are linked to the disease.

For years, it was thought that the cells most linked with Alzheimer's pathology via DNA evidence were microglia, infection-fighting cells in the brain. However, this did not match with actual studies of Alzheimer's patients' brains. It's the memory-making cells in the human brain that are implicated in the pathology.

To prove this link, researchers at Rice alongside Boston University developed a computational algorithm called “Single-cell Expression Integration System for Mapping genetically implicated Cell types," or SEISMIC. It allows researchers to zero in on specific neurons linked to Alzheimer's, the first of its kind. Qiliang Lai, a Rice doctoral student and the lead author of a paper on the discovery published in Nature Communications, believes that this is an important step in the fight against Alzheimer's.

“As we age, some brain cells naturally slow down, but in dementia ⎯ a memory-loss disease ⎯ specific brain cells actually die and can’t be replaced,” said Lai. “The fact that it is memory-making brain cells dying and not infection-fighting brain cells raises this confusing puzzle where DNA evidence and brain evidence don’t match up.”

Studying Alzheimer's has been hampered by the limitations of computational analysis. Genome-wide association studies (GWAS) and single-cell RNA sequencing (scRNA-seq) map small differences in the DNA of Alzheimer's patients. The genetic signal in these studies would often over-emphasize the presence of infection fighting cells, essentially making the activity of those cells too "loud" statistically to identify other factors. Combined with greater specificity in brain regional activity, SEISMIC reduces the data chatter to grant a clearer picture of the genetic component of Alzheimer's.

“We built our seismic algorithm to analyze genetic information and match it precisely to specific types of brain cells,” Lai said. “This enables us to create a more detailed picture of which cell types are affected by which genetic programs.”

Though the algorithm is not in and of itself likely to lead to a cure or treatment for Alzheimer's any time soon, the researchers say that SEISMIC is already performing significantly better than existing tools at identifying important disease-relevant cellular signals more clearly.

“We think this work could help reconcile some contradicting patterns in the data pertaining to Alzheimer’s research,” said Vicky Yao, assistant professor of computer science and a member of the Ken Kennedy Institute at Rice. “Beyond that, the method will likely be broadly valuable to help us better understand which cell types are relevant in different complex diseases.”

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